Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Why Mozilla?

Mozilla Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission to make the internet better for people.

The Mozilla Corporation is wholly owned by the non-profit 501© Mozilla Foundation. This means we aren’t beholden to any shareholders—only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms.

About this team and role:

The Data Science organization shapes Mozilla’s most important business decisions through data. As a Senior Staff (P5) Data Scientist, you will be an analytical leader, partnering with senior executives to turn ambiguity into clear, data-driven recommendations that influence Mozilla’s long-term strategy.

What you’ll do:

• Strategic Influence: Shape Mozilla’s most important business decisions with rigorous, data-driven insights. Turn ambiguity into clear recommendations that influence executive thinking and long-term strategy.
• Trusted Partnerships: Build trusted relationships with senior leaders and cross-functional partners. Surface tradeoffs, align stakeholders with differing perspectives, and help teams make better, faster decisions.
• Technical Excellence: Design and deliver sophisticated analytical solutions to solve complex, ambiguous problems involving large-scale, high-dimensional data. Set a high technical bar through sound methodology, statistical rigor, and pragmatic execution.
• Mentorship and Growth: Serve as a technical leader within the Data Science community. Mentor data scientists, advise managers on technical direction, and elevate the quality of analytical work across the organization.

What you’ll bring:

• Exceptional Communication: Outstanding verbal and written communication skills, with the ability to translate complex technical findings into clear, decision-ready recommendations while preserving analytical rigor. Proven success communicating effectively with both technical and executive audiences.
• Influence Without Authority: A track record of driving alignment across cross-functional teams, earning trust through expertise, and leading through influence rather than formal authority. Experience across multiple industries, domains, or problem spaces is a plus.
• Technical Mastery: Deep expertise in Python or R, SQL, statistics, and modern data science tooling. A strong foundation in analytical methods, paired with curiosity for emerging technologies and sound judgment about when to apply them.

What you’ll get:

• Generous performance-based bonus plans to all eligible employees
• Rich medical, dental, and vision coverage
• Generous retirement contributions with 100% immediate vesting
• Quarterly all-company wellness days where everyone takes a pause together
• Country specific holidays plus a day off for your birthday
• One-time home office stipend
• Annual professional development budget
• Quarterly well-being stipend
• Considerable paid parental leave

About Mozilla

Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at Mozilla, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.

Commitment to diversity, equity, inclusion, and belonging

Mozilla understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission.  We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.

We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at hiringaccommodation@mozilla.com to request accommodation.

We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws.  Mozilla will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.

Group: C

#LI-REMOTE

Req ID: R3163

Hiring Ranges:

Canada Tier 1 Locations

$191,000—$255,000 CAD

Canada Tier 2 Locations

$173,000—$231,000 CAD

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

Job Overview

We are looking for a hands-on analytics leader to join our Product team as Manager, Data Analytics. Reporting to the VP of Product Management, this person will lead our Data Analytics function — setting the direction and strategy for the team while personally driving the majority of our most important analysis work. This is a true player-coach role: we expect roughly 80% of your time to be spent on hands-on analytical work, with the remaining 20% on team management, strategic alignment, and presenting to senior leadership. You’ll partner closely with our Data Engineering team, who own and maintain our data pipeline, and with Product, Growth, and Marketing stakeholders across the company. We are a remote-first company and foster an environment based on kindness, humility, transparency, and helpfulness.

What you’ll do

• Personally deliver data-driven insights, recommendations, and deep-dive analyses that shape product, growth, and business decisions — from framing the question through presenting the answer.
• Design and analyze experiments and A/B tests, bringing statistical rigor to how we evaluate product and growth initiatives.
• Develop, maintain, and improve the dashboards and reports the company relies on to measure and manage KPIs — including acquisition, engagement, retention, and monetization metrics.
• Own the definitions and governance of our core business metrics, ensuring a trusted, single source of truth across the company.
• Set the overall direction, strategy, and roadmap for the Data Analytics team, ruthlessly prioritizing requests from Product, Growth, Marketing, and Engineering.
• Manage, mentor, and develop the data analysts on the team, raising the bar on analytical quality and craft.
• Partner closely with Data Engineering on data models, pipeline improvements, instrumentation, and data quality — advocating for the datasets and tooling the analytics team needs.
• Embrace and champion AI tools throughout the analytics workflow — using them daily to accelerate query development, analysis, and reporting, and helping the team and company adopt them effectively.
• Enable self-serve analytics so stakeholders can answer routine questions themselves, freeing the team for higher-leverage work.
• Communicate findings clearly and persuasively to senior leadership and executives, and support our company-wide OKR process with sound measurement.

What you bring to the table

• You have 7–10 years of experience in Analytics and Data Science, including experience leading or mentoring analysts — and you still love doing the work yourself.
• You have expert-level SQL skills and experience pulling insights from large, complex datasets — preferably using Google BigQuery.
• You’re proficient with modern BI and visualization tools (Looker preferred, or Tableau/Power BI or similar).
• You have working knowledge of Python or R for statistical analysis, and a solid grounding in experimentation methodology and statistics.
• You have readily embraced the latest AI tools (LLMs, AI coding assistants, agentic workflows) as a core part of how you work, and you’re curious about how they keep changing the craft.
• You’re technically competent and deeply curious — no detail is too small, no dataset too messy, and no question goes unexamined.
• You have experience partnering with data engineering teams on data modeling, pipelines, and data quality, and you know how to be a great customer of a data platform.
• You have excellent interpersonal, communication, and presentation skills, and are comfortable presenting insights and recommendations to executives.
• You’re highly organized with strong prioritization skills, able to juggle multiple — and at times conflicting — priorities and stakeholder needs.
• You’re opinionated about the metrics that matter for a consumer streaming and subscription business — experience in streaming, entertainment, or consumer subscription products is a plus.
• You are kind, humble, helpful and enjoy getting stuff done.
• You are intrinsically motivated, able to manage your time, and enjoy working with a distributed team across the globe.
• You believe in asking for help and helping others when they ask, never throwing a problem over the wall.
• You are hungry to have an impact, continuously working to improve our product, process and push the team to be its best.

Who we are

Plex is a global streaming media platform that gives millions of customers around the world the freedom to enjoy all the content they love in one simple, beautiful app. Our vision is to empower real human connections by bringing people and entertainment together. So, we’re on a mission to create a global community for streaming content that people can depend on to easily discover, experience, and share all of the entertainment that matters to them.

What sets us apart

• We are the largest independent streaming platform built by a global team of employees who are fanatically passionate about delivering the highest quality, most unified, and user-friendliest entertainment experience possible.
• We have always been a distributed organization, with people making great things happen in over 20 different countries and 11 time zones.
• We host epic in-person off-sites to bring team members together a few times a year.
• We are passionate about our mission and we work hard, while still providing flexibility around a schedule that works for you.
• We love what we’re building and our user community is an integral part of our development process. We actively engage with customers to understand what is working, what they want more of, and how we can be better.
• We are committed to improving the communities where we live and work with charitable contributions, partnerships, and service.

Remote Work / Onsite Interview

• Plex hires new team members in countries around the world.
• As such, Plex does not sponsor employment visas.
• All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our hiring team can help answer any questions about location after starting the recruiting process.
• Also, please note, though we largely work asynchronously, as it relates to meetings, those generally occur between UTC 1600 to UTC 1900
• All final interviews will be in-person and onsite

The Plex Values

• Be kind, humble, and helpful.
• Approach problems with curiosity, creativity, and flexibility.
• Put yourself on the customer’s couch.
• Be a good steward. Like a boss!
• Build relationships to ensure healthy debate.
• Foster a global and diverse team spirit.
• Show gratitude and give back.
• Seek balance for yourself and Plex.

Compensation

Our compensation reflects the cost of labor across several US and Global geographic markets. The base pay for this position ranges from $100,000 / year in our lowest geographic market up to $170,000 / year in our highest geographic market. Pay is based on a number of factors including market location, seniority, local currency and may vary depending on job-related knowledge, skills, and experience.

Benefits

• Monthly Balance Wellness Stipend
• Productivity Stipend
• Flexible paid time off
• Paid parental leave
• Hardware stipend
• Flextime, work from anywhere
• Comprehensive health insurance
• Stock options
• 401k (US employees)
• Plex for the Planet community service opportunities

AI Interview Guidelines at Plex

We want and will encourage you to use AI for your role here at Plex should you join us! That said, AI use will not be accepted during the interview process. If we believe you are using AI during the interview process in the following ways, we will not move forward with you for the role.

• Application Materials - Using AI to assist in building your resume or cover letter is acceptable. However, we expect the application materials you submit to represent your qualifications and skills accurately. If we determine that these may have been misrepresented, we will not move forward.
• Virtual Interviews - Our interviews are designed to test your ability to demonstrate skills needed for the role you’re interviewing for. We seek to understand your interpersonal and collaborative abilities, and how that would translate into the job. We ask that you engage in our interviews without reading from or referencing AI-produced answers. If we detect that you are doing so without permission or advance disclosure, we will not move forward.

Diversity, Equity, and Inclusion at Plex

At Plex, our vision is to empower real human connection by bringing people and entertainment together. This vision is at the heart of our diversity, equity and inclusion work.

As a fully remote, global company, we take pride in our ability and dedication to building a workforce that represents our global audience. Our virtual work environment is intentionally designed to draw from all backgrounds, creating a sense of belonging and ownership for every employee.

As we create a global community of streaming media, we know we need a team that represents the diversity of our users and a company culture that welcomes people to be their authentic selves, and we’re all in!

Our DEI efforts are focused on the following:

• Building a diverse and global company
• Creating an inclusive culture

Our DEI Foundations:

• Participation, Education and Awareness, Data and Understanding

Does this sound interesting? We’re looking for a Manager, Data Analytics who is ready to join us to have a material impact in Plex’s growth and success!

Plex is an Equal Employment Opportunity employer and is committed to building an inclusive and diverse workforce. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other classification protected by applicable discrimination laws. Should you require an accommodation during our interviewing and hiring process, please let your recruiter know.

About Foodsmart:

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

👥 Customer First - You start with the member and work backwards.

🚀 Make It Happen - You act with urgency, use data, and hold high standards.

🤝 One Team - You collaborate with respect and commit as a group.

Whether you’re a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the Role:

Every QBR, renewal conversation, and RFP Foodsmart brings to a client or prospect is only as strong as the data behind it. We’re looking for a Director, Client Data Science to own that foundation: the reporting, automation, and metrics that make sure our external story holds up, without turning into a manual scramble every time a client asks a hard question.

You won’t own Foodsmart’s external narrative itself, that lives with our go-to-market and sales teams, but you’ll make sure it’s built on solid data, and you’ll act as the analytical consultant who helps sharpen how it’s told.

This is a high-impact, domain-owning role reporting to the VP of Analytics & Data Science. You’ll be the connective point across the rest of the analytics team, pulling in expertise on member engagement and clinical outcomes as needed to round out the external story, while owning the client-facing data foundation yourself. You’ll also build and own our system of client SLAs: what we can validate and stand behind today, and the standing recommendation on whether to take on new ones.

This is a lead role where leadership shows up in being the confident, credible voice in front of clients and partners rather than in managing a large team. It’s heavily hands-on: you’ll build the reporting infrastructure yourself, work closely with Data Engineering to automate recurring weekly and monthly client reporting, and lean on AI as a genuine force multiplier, the main way this area scales, rather than just by adding headcount.

This is a hands-on infrastructure and reporting role. We need someone who can move fluidly from dbt modeling to BI build-out to actually sitting in front of a client, and who treats that full range as one job, not three.

We’re specifically looking for someone who has held an equivalent role at another health tech company: someone who has already lived the specific mix of clinical, operational, and commercial reporting that clients and payers expect, not someone learning the domain from scratch. Beyond that, we’re a small, flat, fast-moving team that leans hard into AI-native tooling. Hex, Omni, and Claude Code are our defaults for building and automating, and we want someone who thinks the same way.

You will:

• Own Client Quarterly Business Review (QBR) automation end to end. Build the systems, using AI alongside other automation tooling, that turn QBR prep, including the slides and commentary, from a manual production process into something that runs largely on its own.
• Automate Foodsmart’s recurring weekly and monthly client reporting in partnership with Data Engineering, so routine reporting runs on its own instead of eating analyst time every cycle.
• Own the RFP data function: providing the analysis, benchmarks, and data cuts that Sales and the proposal team need, without owning the writing or the proposal process itself.
• Create and own a standard system of client SLAs: which commitments we can validate and stand behind today, and act as the point person for evaluating whether to adopt new SLA asks from prospects or clients.
• Build and maintain the foundational set of metrics Foodsmart uses externally: consistent, defensible numbers that Sales, Customer Success, RFP responses, and QBRs can all draw from rather than each function calculating its own version.
• Be conversant in Foodsmart’s clinical ROI story well enough to represent it confidently in QBRs and client conversations, partnering with our Senior Director of Clinical Intelligence on the underlying technical model and any deep-dive analysis.
• Act as the data consultant behind Foodsmart’s external narrative: make sure it’s built on accurate data, and help sharpen how it’s told, without owning the story or the external materials yourself.
• Pull in expertise from across the analytics team, including member engagement and clinical outcomes, as needed to assemble a complete and accurate external story, rather than trying to own every domain’s data yourself.
• Partner directly with Customer Success and Sales leadership as their embedded analytical lead, attending cadences and understanding what clients and prospects are actually asking for.
• Represent Foodsmart directly in front of clients and prospects when needed, whether that’s presenting a QBR, supporting a sales call with data, or fielding technical questions during a deal.

You are:

• An operator who thrives in flat, fast-moving teams, comfortable owning a broad mandate with minimal oversight.
• A confident external communicator. You’re comfortable being in the room with clients, prospects, and partners, translating data into a clear, credible story on the spot, not just producing the underlying analysis.
• A systems thinker who’d rather build the infrastructure that makes dozens of QBRs easy than manually produce each one well. You see repetition as a signal to automate, not grind through.
• A trustworthy data steward. When you say a metric or an SLA is solid enough to put in front of a client or a payer, that means something, and you’re comfortable being the person who has to actually validate that before it goes external.
• A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), BI and reporting, and enough data science fluency to know when a number needs real rigor behind it before it goes external.
• Deeply fluent with AI-native tooling. You default to using Claude, Claude Code, and in-BI AI agents to build and automate, and you have a point of view on how to use them to replace manual reporting work specifically.
• Someone who treats AI as a real lever on your own output. You default to using it to build, automate, and extend your reach, and you’d rather scale this area through leverage than through headcount.

You have:

• Bachelor’s degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master’s degree is a plus.
• 12+ years of experience in data science, analytics, or BI, with real experience owning client-facing or external-facing reporting.  4+ years leading teams
• Experience in an equivalent role at another healthtech company, ideally one with a similar mix of clinical, operational, and commercial reporting demands.
• Direct experience supporting RFP processes with data and analysis, ideally in a healthcare, Medicaid, or payer-adjacent context.
• Experience building or owning SLA frameworks, or a clear point of view on how to structure one from scratch.
• Comfort discussing clinical ROI and outcomes methodology at a business level. You don’t need to own the technical model, that sits with our Senior Director of Clinical Intelligence, but you need to represent it credibly to clients and prospects.
• Experience partnering directly with Sales and Customer Success leadership as their analytical lead.
• Expert-level proficiency in SQL and working knowledge in Python.
• Deep, production-level experience with dbt, including source and metric modeling, testing, documentation, and semantic layer design.
• Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent).
• Proven fluency with AI-native developer and analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent) used in production analytical workflows.
• Experience automating recurring reporting deliverables (QBRs, board decks, client-facing dashboards) using AI or workflow tooling, not just building the underlying dashboard.
• Excellent written and verbal communication skills, with genuine comfort presenting data-driven narratives to external, non-technical audiences.

$190,000 - $220,000 a year

Role: Director, Client Data Science

Location: Remote, USA

Base Salary Range: $190,000 - $220,000 + bonus + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education.

About our benefits and perks:

✅ Remote-First Company

✅ Unlimited PTO

✅ Flexible & remote location

✅ Healthcare Coverage (Medical, Dental, Vision)

✅ 401k & bonus

✅ Registered Dietitian Sessions

Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Foodsmart:

Foodsmart is the leading Foodcare platform in the U.S., built to deliver nutrition-driven healthcare at scale. Powered by a national network of Registered Dietitians, Foodsmart combines personalized clinical nutrition care, behavior change tools, and food benefits to improve member health outcomes while lowering healthcare costs.

Our platform is designed to foster healthier food choices, drive lasting behavior change, and deliver sustainable health outcomes. Through our highly personalized, digital platform, we guide more than 3 million members—including those in employer-sponsored health plans, regional and national Medicaid managed care organizations, Medicare Advantage plans, and commercial insurers—on a tailored journey to eating well while saving time and money.

Foodsmart seamlessly integrates dietary assessments and nutrition counseling with online food ordering and cost-effective meal planning for the entire family, optimizing ingredients both at home and on the go. We partner with national and regional retailers across the U.S., many of whom accept SNAP/EBT, making healthier food more accessible. Additionally, we assist members with SNAP enrollment and management, providing tangible access to nutritious food. In 2024, Foodsmart secured a $200 million investment from TPG’s Rise Fund, which supports entrepreneurs dedicated to achieving the United Nations’ Sustainable Development Goals. This investment helps us expand our reach, particularly to low-income workers who are disproportionately affected by diet-related diseases.

At Foodsmart, our mission is to make nutritious food accessible and affordable for everyone, regardless of economic status. We are committed to a set of core values that shape our culture and work environment:

👥 Customer First - You start with the member and work backwards.

🚀 Make It Happen - You act with urgency, use data, and hold high standards.

🤝 One Team - You collaborate with respect and commit as a group.

Whether you’re a dietitian, a commercial leader, or a technologist, working at Foodsmart means being part of a team that is passionate, supportive, and driven by a shared purpose. Join us in transforming the way people access and enjoy healthy food.

About the Role:

We’re looking for a Director, Member Data Science to own the analytics behind the entire path a member takes with Foodsmart, from first contact, through activation, to long-term retention.  You’ll partner closely with Marketing, Product, and Clinical Operations along the way.

This is a high-impact, domain-owning leadership role reporting to the VP of Analytics & Data Science. You’ll be the executive-facing voice on member funnel and retention performance, lead our experimentation and causal inference program, and build the attribution and lifecycle models that shape how Foodsmart invests across the member journey. You’ll partner directly with senior company leadership as the analytical voice understanding the member journey.

You’ll lead a small team while staying hands-on yourself. This is a meaningfully technical role, not a pure people-management seat: we need someone who can build and review the models directly, operate as a trusted thought partner to executive stakeholders, and coach the team toward increasingly independent ownership. As this area grows, we expect that growth to come from leverage, not just headcount: real scale will come from how well you and your team use AI agents and tooling to extend your reach. If you’re energized by getting more out of a small team through scale of impact rather than by managing a bigger one, this is built for you.

This is a full-stack data science leadership role. We’re not looking for a pure statistician or a pure analytics engineer. We need someone who operates across the entire analytical stack, from dbt source models and semantic layer design, to BI dashboards and self-service tooling, to predictive modeling, causal inference, and optimization work. At Foodsmart, durable insight requires owning the data foundation it sits on, and impactful models require the communication infrastructure to drive decisions. We expect this person to be strong across all of it, and to instill that same standard in the team they lead.

We’re a small, flat, fast-moving team that leans hard into AI-native tooling. We use Hex and its AI Agent for analysis, and Omni with deep context engineering to power stakeholder self-service. We’re actively expanding our use of Claude Code across our workflows, and we want someone who treats these tools as force multipliers for their own output and their team’s, not someone who sees analytics as a hand-cranked request queue.

You will:

• Own the analytical strategy for the end-to-end marketing funnel across both activation and retention: from marketable lives to lead generation to omni-channel engagement strategy, to visit completion, re-engagement, and the reactivation campaigns that bring lapsed members back into their care journey. This includes our call center function (outbound rep allocation, inbound referral scheduling, ZCC data) and member lifecycle (Customer.io journey performance).
• Own the product analytics domain across both activation and retention: onboarding funnel, sign-up conversion, in-app engagement through a member’s completed first appointment, and the ongoing booking and in-app experience that shapes whether members keep coming back. Partner with the product team as their embedded analytical lead, attending product cadences and co-owning the product analytics roadmap.
• Serve as the executive-facing owner of the member funnel and retention performance narrative: explaining why marketable lives, funnel conversion, initial visit completion, and retention moved, what levers drove the result, and what to double down on. Partner directly with senior leaders as the analytical voice for the member journey.
• Design and lead Foodsmart’s experimentation program across marketing, product, and retention, including test design, causal inference methods, readout discipline, and the intake process for stakeholder-driven test ideas. Own the StatSig implementation and serve as the internal expert on experiment instrumentation, StatSig configuration, and results interpretation.
• Own and evolve our attribution framework, including scheduling episode attribution, multi-touch attribution, and media mix modeling as Foodsmart’s channel portfolio grows.
• Partner with Clinical Operations leadership, whose Registered Dietitian network is a key driver of member retention.
• Own and evolve the dbt data models across marketing, product, and retention, from raw source modeling through metrics, ensuring data quality, test coverage, documentation, and a semantic layer that makes self-service trustworthy. This is a core craft expectation of this role, not a secondary responsibility.
• Engineer context into our semantic layer and BI environment (Omni) so that stakeholders and AI agents can reliably self-serve answers across the member journey. You treat context engineering (writing descriptions, defining metrics, curating what’s exposed) as a first-class part of your job.
• Lead and develop a small team: setting technical direction, reviewing work, coaching toward increasingly independent ownership of their part of the member journey, and helping the team find real leverage through AI tooling rather than doing more manual work.

You are:

• An operator who thrives in flat, fast-moving teams. You need minimal guidance to drive outcomes and default to taking ownership rather than waiting for direction.
• A domain-owning leader who is comfortable being the single point of accountability for a critical, company-level outcome and the executive-facing voice on its performance.
• A rigorous experimentalist who treats causal inference as a core craft, not a buzzword. You have a point of view on what makes a test trustworthy and how to teach causal thinking to business partners.
• A strategic partner who can translate a high-level business problem into a concrete analytical roadmap and influence senior leaders, including C-level executives, across product, marketing, clinical, and finance.
• A full-stack analytics practitioner, strong across analytics engineering (dbt, semantic layer), business intelligence and dashboarding, and data science (predictive modeling, causal inference, optimization). You don’t silo into pure stats/Python work, and you understand that durable insight requires owning the data foundation, not just the models on top of it.
• Deeply fluent with AI-native tooling. You see tools like Claude, Claude Code, and in-BI AI agents as a core part of how you and your team get leverage, and you have a point of view on how to engineer the context and semantic layer that makes AI-driven self-service trustworthy.
• Genuinely energized by scaling a small team’s output through AI rather than through more headcount. You’d rather solve “how do we get 3x the leverage out of this team” than “how do I get budget for 2 more hires,” and you want the person you manage to feel that same energy.
• A capable, motivated people leader who wants to stay predominantly hands-on. This is not a pure management-track role. We’re looking for someone who leads by building and reviewing alongside their team, not by stepping back from the work.

You have:

• Bachelor’s degree, ideally in a quantitative or technical field (e.g., Economics, Statistics, Computer Science, Operations Research, Applied Mathematics); Master’s degree is a plus.
• 12+ years of experience in data science, analytics, or experimentation, with a proven track record of driving measurable impact on growth, acquisition, or lifecycle outcomes. 4+ years leading teams.
• Experience partnering directly with senior and executive stakeholders (VP-level and above) as the analytical voice for a business area, ideally including some experience leading or mentoring other data scientists or analysts.
• Deep, hands-on expertise in experimentation and causal inference. You have designed and interpreted rigorous tests (A/B, quasi-experimental, geo-lift) and can defend methodology choices under scrutiny.
• Strong background in attribution modeling (scheduling episode, multi-touch attribution, media mix modeling) and a clear point of view on the tradeoffs between approaches.
• Experience owning lifecycle analytics, ideally including hands-on work with Customer.io, Braze, Iterable, or a similar platform.
• Hands-on experience with product analytics instrumentation: event tracking, funnel analysis, and experimentation platforms (Statsig, Amplitude, Mixpanel, or equivalent). You have a point of view on what good product measurement infrastructure looks like.
• Experience with call center or contact center analytics is a plus. We leverage Zoom Contact Center (ZCC) for our outbound and inbound scheduling teams.
• Expert-level proficiency in SQL and strong proficiency in Python (pandas, scikit-learn, statsmodels, etc.).
• Deep, production-level experience with dbt, including source and mart-layer modeling, testing, documentation, and semantic layer design. You have owned a dbt project end-to-end, not just contributed to one.
• Experience with context engineering for BI and AI self-service: writing semantic layer definitions, metric descriptions, and data model documentation that enables reliable AI-assisted querying (Omni, Looker, or equivalent).
• Proven fluency with AI-native developer and analyst tooling (Claude, Claude Code, Cursor, Hex AI Agent, Omni AI, or equivalent) used in production analytical workflows.
• Experience working in marketplace business models and/or adjacent to healthcare, Medicaid, or a similarly regulated domain is a plus but not required.
• Excellent communication skills. You can distill complex models, test results, and funnel diagnostics into clear, actionable recommendations for executive, product, and marketing-leadership audiences.

$190,000 - $220,000 a year

Role: Director, Member Data Science

Location: Remote, USA

Base Salary Range: $190,000 - $220,000 + bonus + benefits

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries at our headquarters in San Francisco, California. Individual pay is determined by work location, job-related skills, experience, and relevant education.

About our benefits and perks:

✅ Remote-First Company

✅ Unlimited PTO

✅ Flexible & remote location

✅ Healthcare Coverage (Medical, Dental, Vision)

✅ 401k & bonus

✅ Registered Dietitian Sessions

Foodsmart is an Equal Opportunity Employer. It is our firm policy to extend equal employment and advancement opportunity to all applicants and employees without regard to race, color, national origin, citizenship status, religious creed, age, sex (including pregnancy, childbirth, breastfeeding, medical conditions related to pregnancy, childbirth and/or breastfeeding), gender, gender identity and expression, sexual orientation, marital status, disability (physical or mental) and/or a medical condition, genetic information, ancestry, veteran status or service in the uniformed services, and any other characteristic protected by applicable federal, state or local law.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.

About the Team:

We’re looking for an experienced, highly independent analytics engineer to join our Revenue Analytics team. This team owns the data products, reporting infrastructure, semantic foundations, and analytical systems that support Affirm’s Revenue organization.

About the Role:

In this role, you will lead the development of scalable, trusted data products for Affirm’s revenue teams. You turn ambiguous business and technical problems into scalable solutions across data modeling, metrics, dashboards, automation, governance, and AI enablement. You will help set the technical direction for Revenue’s data layer, establish the semantic and metadata foundations required for AI, and raise the quality and impact of data across the Revenue organization.

What You’ll Do:

• Lead high-impact data product initiatives for Revenue, from ambiguous problem definition through technical design, implementation, rollout, and adoption.

• Advance AI initiatives within the Revenue data ecosystem by identifying high-value use cases, integrating AI into analytics engineering workflows, and establishing the semantic, metadata, context, quality, and evaluation foundations required for AI.

• Design and build durable, well-tested data products that power revenue operations, field and executive reporting, external merchant reporting, and analyst self-service.

• Set technical direction for Revenue’s data layer across dbt models, metrics, semantic structures, documentation, lineage, testing, governance, and access controls.

• Identify opportunities to simplify, automate, and scale Revenue Analytics through improved data architecture, tooling, governance, and enablement.

• Provide technical leadership and mentorship to analysts and cross-functional partners, raising the bar for how data products are designed, built, and maintained.

What We Look For:

• 7+ years of experience in analytics engineering, business intelligence, data engineering, data product development, or a related technical analytics role.

• Deep expertise in SQL, dbt, data modeling, metrics design, data quality, documentation, and modern analytics engineering practices.

• Strong working knowledge of BI tools such as Sigma, Looker, or Tableau, cloud data warehouses such as Snowflake, and modern data platforms such as Databricks.

• Strong understanding of the foundations required for reliable AI—including semantic layers, metadata, evaluations, documentation, lineage, access controls, and data quality—and experience applying AI tools within analytics engineering workflows.

• Demonstrated ability to independently lead complex, ambiguous projects by defining scope, sequencing work, managing tradeoffs, aligning stakeholders, and delivering durable technical solutions.

• Experience designing scalable data products for multiple audiences and influencing technical and non-technical stakeholders around architecture and product direction.

• Familiarity with Salesforce and experience supporting commercial, GTM, revenue, or sales operations teams.

Pay Grade - O

Equity Grade - 12

Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.

Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $220,000 - $280,000

USA base pay range (all other U.S. states) per year: $195,000 - $255,000

Please note that visa sponsorship is not available for this position.

#LI-Remote

Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities.

We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include:

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount

We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

[For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records.

By clicking “Submit Application,” you acknowledge that you have read Affirm’s Global Candidate Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI:

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact.Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable.Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.We are backed by $56M in Series C funding and scaling fast – and it’s an exciting time to join the team!

About the Role:

We are looking for a Principal Data Scientist with deep, specialized expertise to lead our organization’s most complex and high-impact modelling and analytical initiatives. As a recognized technical authority, you will set modelling strategy across the organization, drive our most novel work, and raise the technical standard for how we build and ship models.

How you will make an impact:

• Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift.
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly.
• Everything you would expect on a world-class data science team solving world-class problems.  Big data.  Federated learning.  Unstructured data challenges.  Timeseries and sequence modelling.  A self-serve buffet of techniques from GLMs to XGBoost to Transformers.
• Tell stories with your data.  Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

Who you are and why we want to work with you:

• You like getting things over the line.  You have an insatiable desire to deliver value now and improve next.  MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.
• You are not a software engineer, but you give them a run for their money.  You prefer Python to R and don’t understand why there is still a debate.  Jupyter is a necessary evil, and you’ve never met a command line that scared you away.
• You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more.
• You love to take initiative and spearhead new projects, even if they are not well defined.
• You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.  Reuse is a strategy, not a buzzword.

Skills needed to succeed:

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 8+ years of professional data science experience building predictive models
• OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models
• Expert-level knowledge of deep learning and ML algorithms and the core Python data science ecosystem.
• Strong communication and collaboration skills, particularly communicating with nontechnical stakeholders and leadership, and helping to pivot technical roadmaps to deliver their intended value rapidly
• Deep experience with natural language, medical data, long-tail predictions, or similar related problem spaces
• Strong familiarity with all phases of the MLOps model lifecycle, with experience creating team standards and practices to enforce quality and speed
• Deep experience being accountable for model impact long term – from MLOps pipelines to monitor for drift, to KPI and impact monitoring, driving incremental and long-term improvements, triaging issues, addressing tech debt responsibly, etc.

Bonus Qualifications:

• Fluency with actuarial methods and working with actuaries is a plus
• Familiarity with healthcare and medical data
• Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
• Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $190,000-235,000k base salary annually.

This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

This is a fully remote opportunity with hybrid available to those local to Boston.

Gradient AI:

Gradient AI is the decision-intelligence partner for the insurance industry, giving customers an advantage in how they make decisions by revealing risk others miss and translating it into stronger performance and real-world impact.Our platform harnesses a vast industry data lake – tens of millions of policies and claims enriched with economic, health, geographic, and demographic signals – integrating cleanly with existing workflows to make complex risk clear, usable, and actionable.Our customers include carriers, brokers, consultants, and specialized insurance organizations across the industry.We are backed by $56M in Series C funding and scaling fast – and it’s an exciting time to join the team!

About the Role:

We are looking for a Staff Data Scientist to lead complex modelling and analytical projects of broad and diverse scope. You will drive cross-product initiatives with minimal direction, setting the technical approach where problems are ambiguous and raising the bar for the entire data science team.

How you will make an impact:

• Leverage the best of modern deep learning & large language models with traditional data science techniques to create powerful hybrid models with real uplift.
• Brainstorm, prototype, prove, deploy, and realize the value of your work in market quickly.
• Everything you would expect on a world-class data science team solving world-class problems.  Big data.  Federated learning.  Unstructured data challenges.  Timeseries and sequence modelling.  A self-serve buffet of techniques from GLMs to XGBoost to Transformers.
• Tell stories with your data.  Inspire trust in customers, stakeholders, and prospects by turning murky math into a powerful message that drives the bottom line.

Who you are and why we want to work with you:

• You like getting things over the line.  You have an insatiable desire to deliver value now and improve next.  MVP perfection is achieved not when there is nothing more to add, but when there is nothing left to take away.
• You are not a software engineer, but you give them a run for their money.  You prefer Python to R and don’t understand why there is still a debate.  Jupyter is a necessary evil, and you’ve never met a command line that scared you away.
• You still do a better job than Claude, and you’re skeptical of your friends who say they never code any more.
• You love to take initiative and spearhead new projects, even if they are not well defined.
• You build systems bigger than you. You contribute to open source, build packages your peers want to use, or design frameworks to elevate your team.  Reuse is a strategy, not a buzzword.

Skills needed to succeed:

• Bachelor’s degree in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 5+ years of professional data science experience building predictive models
• OR Master’s or Ph.D in Computer Science, Data Science, Biostatistics, Mathematics, or similar related field AND 3-5 years of professional data science experience building predictive models
• Advanced proficiency with deep learning frameworks and the core Python data science ecosystem, and a deep understanding of modern AI architectures (e.g., Transformers, Neural Networks, LLMs) and related ML fields
• Strong technical communication and collaboration skills, particularly communicating with nontechnical stakeholders and working collaboratively with engineering/product teams to meet project goals and timelines
• MLOps and hands-on experience taking models from notebook to production — Experiment tracking, packaging, containerization (Docker), model serving and APIs, CI/CD, and pipeline orchestration
• Monitoring models in production – tracking data and concept drift and performance degradation, with alerting
• Strong peer leadership and ability to mentor junior DS on best practices and problem solving.  Experience setting and improving team standards.

Bonus Qualifications:

• Fluency with actuarial methods and working with actuaries is a plus
• Familiarity with healthcare and medical data
• Familiarity with underwriting and claims, or predicting long-tailed and/or rare events

What We Offer:

• A fun, team-oriented startup culture.
• Generous stock options - we all get to own a piece of what we’re building.
• Unlimited vacation days.
• Flexible schedule that supports working from home.
• Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
• Ample opportunities to learn and take on new responsibilities.

We are an equal opportunity employer.

Salary Range: $160,000-193,750k base salary annually.

This role is also eligible for an annual performance bonus, equity grant, and a comprehensive benefits package. In accordance with the Massachusetts Pay Transparency Law, we are providing a good-faith salary range for this position at the time of posting. The actual salary offered will depend on the level at which the candidate is hired, as well as their experience, skills, qualifications, and location. Compensation may grow over time through merit-based increases, promotions, and company-wide adjustments. If your salary expectations fall outside this range, we still encourage you to apply so we can have a conversation.

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

This is a remote position. Candidates may reside anywhere in the United States.

AbbVie’s Analytics and Performance Excellence (APEX) function is seeking a highly strategic, analytical, and collaborative Associate Director to provide analytics leadership for the Business Evolution Strategic Development (BESD) Team. This role will drive impactful business analytics and insights to help AbbVie anticipate and navigate evolving healthcare environments, especially focusing on market access and policy disruptors.

The Associate Director will bridge Market Access and Patient Services (MAPS) Team within APEX and BESD (Business Evolution Strategic Development) team objectives by leading modelling, advanced insights and analytics supporting forward-looking strategies, enabling enterprise readiness, and shaping market access policies and outcomes for AbbVie’s diverse U.S. portfolio. This role requires a strong grasp of healthcare policy, payer analytics, and strategy formulation within a collaborative, cross-functional environment.

Key Responsibilities:

• Lead the planning and execution (hands-on performing) of analytics to inform market access strategies, price reform and policy analysis, with actionable recommendations for AbbVie leadership.
• Identify payer opportunities/threats through deep dive analytics (‘Follow the Dollar’, claims analysis, and scenario modeling).
• Foster positive relationships and close collaboration with teams including Government Affairs, Finance, Legal, Corporate Affairs, Brand, and Market Access.
• Communicate complex findings and insight-driven narratives to senior leadership and cross-functional teams, enabling improved payer knowledge and strategic decision-making.
• Monitor external environment and translate emerging trends (political, regulatory, legislative, commercial) into strategic recommendations for AbbVie’s business evolution.
• Advise on analytics infrastructure enhancements to drive business impact.

Skills

• Action and Accountability: Own responsibility for activities within relevant workstreams, and engage and inspire cross functional stakeholders to advance towards clear objectives and strategies; make quick, but informed decisions, as appropriate, to ensure best paths forward in the midst of change market and policy dynamics.  Constantly engage, guide, and support cross-functional team to address roadblocks, challenges, resourcing constraints and other dynamics.
• Leadership and Influence: Influence and persuade across multiple external and internal stakeholders.
• Collaboration and Teamwork: Work effectively with internal stakeholders, external market experts and partners.

Qualifications

• Bachelor’s degree required; master’s degree (MBA or related business/science) preferred.
• 10+ years of progressive hands-on analytical/ insights experience in healthcare industry (pharma, consulting, government affairs, market access, public policy, etc.).
• 5+ years hands-on analytical/ insights experience in pharmaceutical market access experience with deep understanding of Health Plans, PBMs, Hospitals, Specialty Pharmacies, and healthcare policy stakeholders. Strong insurance channel experience and understanding (i.e. Medicare, Commercial etc.)
• Strong business acumen, strategic and analytical thinking, and executive presence.
• Exceptional communication and influencing skills, with the ability to distill complex information into compelling, concise messages.
• Strong organizational skills, flexibility, attention to detail, and experience in collaborative, dynamic environments. Exceptional communications and executive presence, critical thinking and interpersonal skills, strong ability to influence without authority, the ability to speak and write persuasively and with clarity, strong organizational skills, flexibility, and adaptability to changing requirements, resourcefulness and creativity, strong attention to detail, a proven track record of being able to work drive towards deadlines and an ability to work collaboratively in a fluid organizational and external environment. Must be an individual who works well in a team environment and enjoys working in a collegial, collaborative and fun, yet highly demanding culture

Preferred:

• Experience in hands-on analytics/ insights related to policy shaping, price reform strategy, and enterprise-level stakeholder partnership.
• Proficiency with pharmaceutical data sources (formulary, claims).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this postingbased on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more orless than the posted range. This range may be modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paidand may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Description We’re seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this...

Siege Media is a full-service GEO agency specializing in SEO, content marketing, digital PR, and affiliate marketing as a method of driving LLM visibility. We work with brands like Zapier, Asana, HP, PayPal, and Zoom. We’re expanding our service suite to include Analytics, and we’re looking for the founding hire to build and lead that practice.

Perks for U.S. employees include 100% health, dental, and vision benefits, unlimited PTO, and remote-friendly work environments (with a preference for Austin or a willingness to travel for periodic team gatherings).

Siege Media values diversity. We encourage people of color, LGBTQIA+ folks, veterans, parents and those with disabilities to apply. We are committed to helping all people succeed at Siege. If you require reasonable accommodation to complete our application or interview process, please let us know.

The Role

This is a hybrid implementer/strategist role. You’ll be hands-on building the technical foundation (GA4, GTM, attribution, dashboards) and the authority in the room, translating data into strategy and defending it directly with clients. You’ll own the Analytics service line from the ground up: setting standards, scoping engagements, and growing the practice as demand builds.

If you only want to build, or only want to advise, this isn’t the role. We need someone who can do both and is excited to shape a new offering.

Responsibilities

• Implementations: Lead end-to-end analytics implementations: GA4, Google Tag Manager (including server-side tagging), data layer architecture, and conversion tracking.

• Reporting & Dashboards: Design and build reporting and dashboards (Looker Studio, BigQuery, and equivalent BI tools).

• Attribution Strategy: Develop attribution models and measurement frameworks that tie organic, content, and PR efforts to business outcomes.

• Client Advisory: Serve as the analytics authority on client calls — presenting insights, fielding questions, and guiding strategy with confidence.

• Internal Partnership: Partner with GEO, SEO, content, affiliate, paid social and PR teams to instrument campaigns and prove impact.

• Compliance: Ensure privacy and consent compliance (consent mode, data governance) across implementations.

• Practice Building: Set the standards, processes, and deliverable templates for a scalable Analytics practice.

• Sales Support: Scope and price new analytics engagements alongside the Growth team.

• Brand Strategy: Use our Analytics infrastructure with historical data to help develop differentiated content strategies for the Siege Media brand.

Required Skills

• 7–10 years in marketing or web analytics, with a mix of agency and/or in-house experience

• Dedicated experience using AI to build analytics dashboards/scaled recommendations, including but not limited to Claude artifacts for reporting and agentic workflows

• Deep, hands-on GA4 and GTM expertise, including server-side tagging and data layer design

• Strong SQL and experience with BigQuery and BI/visualization tools (Looker Studio or similar)

• Proven attribution modeling and measurement strategy chops

• Demonstrated client-facing presence — you can lead a call, not just join one

• Ability to translate technical data into clear, strategic recommendations a CMO understands

• Familiarity with privacy regulations and consent management

Suggested Skills

• Strong comfort using AI tools like Claude to drive analytics recommendations and scale your impact at an organization

• Experience measuring SEO/content/GEO performance, or exposure to AI search analytics

Compensation & Logistics

• Salary: $135,000.00–$145,000.00 USD, $145,000.00-$165,000.00 OTE

• Benefits: Full benefits for employees include 100% health/dental/vision, 401(k) matching and unlimited PTO

• Location: Remote-friendly, with a preference for Austin, TX or a willingness to travel for periodic team gatherings

Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit...

Position Summary:

Provides statistical leadership and support for all phases of clinical development. Specific responsibilities include consulting with clients regarding clinical trial study design and regulatory strategy, writing and reviewing statistical methods and sample size sections of protocols, writing and reviewing statistical analysis plans of complex study designs, reviewing statistical analyses and presenting statistical results. Lead complex programs such as NDA/BLA/MAA submissions or complex, multi-protocol programs and provide statistical oversight. Serve as a subject matter expert for one or more areas (e.g., Bayesian adaptive study design, Survival analysis, DMC, submissions)

Essential functions of the job include but are not limited to:

• Consult with clients regarding clinical trial study design and regulatory strategy
• Develop and review statistical methods of clinical study protocols
• Provide and/or verify sample size calculations
• Author statistical analysis plans of complex study design
• Review statistical analysis plans written by other biostatisticians
• Review statistical output to ensure accuracy
• Review statistical sections of clinical study reports
• Generate and/or verify randomization schedules
• Provide statistical analysis and reporting to Data Monitoring Committees (DMCs) as the unblinded reporting biostatistician
• Work proactively with sponsors, internal study team, and external vendors
• Serve as a Subject Matter Expert (SME) and develop/review procedural documents and work on new initiatives
• Provide mentoring and training to other statisticians
• Attend bid defense meetings for complex programs
• Other duties as assigned

Qualifications:

Minimum Required:

• Senior Principal Biostatistician level: Master’s degree or equivalent in Statistics, Biostatistics, or related field with 12+ years of experience; PhD degree in Statistics, Biostatistics, or related field with 9+ years of experience
• Principal Biostatistician level: Master’s degree or equivalent in Statistics, Biostatistics, or related field with 10+ years experience; PhD degree in Statistics, Biostatistics, or related field with 7+ years experience

Other Required:

• Broad experience with regulatory submissions
• Extensive experience consulting with clients regarding clinical trial study design and regulatory strategy
• Superior understanding of a statistical methodology (e.g., Bayesian adaptive study design, Survival analysis, Repeated measures)
• Sound knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
• Experience with SAS

Preferred:

• Experience with oncology and rare diseases
• Experience with DMCs
• Excellent communication and interpersonal skills
• Excellent problem-solving skills
• Excellent presentation skills
• Excellent organizational and time management skills
• Outstanding statistical skills

Competencies:

• Sound judgment/decision making
• Ability to establish and teach others to maintain effective working relationships with coworkers, managers, and clients
• Service oriented, accountable, and flexible
• Competency in written and spoken English
• Follow and train others on applicable regulations, including FDA, ICH, and Precision Policies and Procedures
• At all times to promote the image of Precision, acting as an ambassador to the Company
• Ensure that all internal systems are routinely updated as appropriate (e.g., timesheets, expense reports, financial reports, etc.)

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Reasonable estimate of the current range

$147,300—$243,000 USD

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

Recruitment Fraud Warning: Please be aware that fraudulent individuals and websites may impersonate Precision Medicine Group or its affiliates and attempt to obtain personal, financial, or banking information through fake job postings or employment offers. Precision Medicine Group will never request payment, banking details, or other sensitive financial information as part of the recruitment process. If you believe you have been targeted by a recruitment scam, we encourage you to report the incident to your local law enforcement authorities, consumer protection agency, or relevant cybercrime reporting organization in your country. Please also notify us at myHR@precisionmedicinegrp.com so we can investigate and take appropriate action.

Position Summary:

Provides statistical leadership and support for all phases of clinical development. Specific responsibilities include consulting with clients regarding clinical trial study design and regulatory strategy, writing and reviewing statistical methods and sample size sections of protocols, writing and reviewing statistical analysis plans of complex study designs, reviewing statistical analyses and presenting statistical results. Lead complex programs such as NDA/BLA/MAA submissions or complex, multi-protocol programs and provide statistical oversight. Serve as a subject matter expert for one or more areas (e.g., Bayesian adaptive study design, Survival analysis, DMC, submissions)

Essential functions of the job include but are not limited to:

• Consult with clients regarding clinical trial study design and regulatory strategy
• Develop and review statistical methods of clinical study protocols
• Provide and/or verify sample size calculations
• Author statistical analysis plans of complex study design
• Review statistical analysis plans written by other biostatisticians
• Review statistical output to ensure accuracy
• Review statistical sections of clinical study reports
• Generate and/or verify randomization schedules
• Provide statistical analysis and reporting to Data Monitoring Committees (DMCs) as the unblinded reporting biostatistician
• Work proactively with sponsors, internal study team, and external vendors
• Serve as a Subject Matter Expert (SME) and develop/review procedural documents and work on new initiatives
• Provide mentoring and training to other statisticians
• Attend bid defense meetings for complex programs
• Other duties as assigned

Qualifications:

Minimum Required:

• Senior Principal Biostatistician level: Master’s degree or equivalent in Statistics, Biostatistics, or related field with 12+ years of experience; PhD degree in Statistics, Biostatistics, or related field with 9+ years of experience
• Principal Biostatistician level: Master’s degree or equivalent in Statistics, Biostatistics, or related field with 10+ years experience; PhD degree in Statistics, Biostatistics, or related field with 7+ years experience

Other Required:

• Broad experience with regulatory submissions
• Extensive experience consulting with clients regarding clinical trial study design and regulatory strategy
• Superior understanding of a statistical methodology (e.g., Bayesian adaptive study design, Survival analysis, Repeated measures)
• Sound knowledge of industry standards such as the ICH guidelines, CDISC data structures, 21 CFR Part 11, and FDA guidelines
• Experience with SAS

Preferred:

• Experience with oncology and rare diseases
• Experience with DMCs
• Excellent communication and interpersonal skills
• Excellent problem-solving skills
• Excellent presentation skills
• Excellent organizational and time management skills
• Outstanding statistical skills

Competencies:

• Sound judgment/decision making
• Ability to establish and teach others to maintain effective working relationships with coworkers, managers, and clients
• Service oriented, accountable, and flexible
• Competency in written and spoken English
• Follow and train others on applicable regulations, including FDA, ICH, and Precision Policies and Procedures
• At all times to promote the image of Precision, acting as an ambassador to the Company
• Ensure that all internal systems are routinely updated as appropriate (e.g., timesheets, expense reports, financial reports, etc.)

Precision is required by law in some states, cities and or countries to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.

Salary Range: 149,000-246,000

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at myHR@precisionmedicinegrp.com.

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Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

AbbVie Information Research seeks a Principal Research Data Scientist to design, architect, and develop AI data solutions that drive the advancement of our AI and machine learning ecosystem. In this role, you will collaborate closely with data engineers, data scientists, architects, and business analysts to support world-class research and development, foster technological innovation, and promote continuous improvement.

Responsibilities:

• Collaborate with cross functional team of architects, data scientists, business system analysts, and product owners to understand requirements and deliver fit for purpose solutions.
• Design, develop, and maintain scalable AI ready data solutions for diverse data sets to support pharma R&D value chain.
• Support projects involving the integration of LLMs (such as GPT or Claude or similar technologies) for data mining, knowledge extraction, and automation of data-driven insights.
• Capture and interpret user requirements into expressive data models that enable graph analytics, semantic reasoning, and GenAI integration.
• Research and recommend appropriate tools, frameworks, and platforms for graph databases, vector stores, and large language models integration including agent-based solutions.
• Provide technical leadership, act as a subject matter expert and advisor to partners on the feasibility and impact of emerging technologies in the AI data space.
• Architect solutions to operationalize machine learning models, including model deployment, monitoring, and lifecycle management.
• Ensure compliance with applicable AbbVie software development, lifecycle policies, and procedures.
• Present complex graphs and GenAI relationships through visualizations, translating technical results into business insights. Create compelling data-driven presentations and dashboards for executives, project sponsors, and non-technical audiences.

Qualifications

Required:

• Bachelor’s Degree with 8 years’ experience; Master’s Degree with 7 years’ experience; PhD with 3 years’ experience.
• Must have experience with Neo4j & Elastic Search database technologies.
• Must have experience with supporting AI/ML initiatives including LLM integration, Data Agents, Agentic Memory, and Graph RAG systems.
• Must have experience with text mining and unstructured data processing.
• Must have experience with Pharmaceutical R&D industry-centric datasets.

Preferred:

• Background in life sciences or work experience in the pharmaceutical industry preferred
• Master’s degree preferred

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology, and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

AbbVie Information Research seeks a Principal Research Data Scientist to design, architect, and develop AI data solutions that drive the advancement of our AI and machine learning ecosystem. In this role, you will collaborate closely with data engineers, data scientists, architects, and business analysts to support world-class research and development, foster technological innovation, and promote continuous improvement.

Responsibilities:

• Collaborate with cross functional team of architects, data scientists, business system analysts, and product owners to understand requirements and deliver fit for purpose solutions.
• Design, develop, and maintain scalable AI ready data solutions for diverse data sets to support pharma R&D value chain.
• Support projects involving the integration of LLMs (such as GPT or Claude or similar technologies) for data mining, knowledge extraction, and automation of data-driven insights.
• Capture and interpret user requirements into expressive data models that enable graph analytics, semantic reasoning, and GenAI integration.
• Research and recommend appropriate tools, frameworks, and platforms for graph databases, vector stores, and large language models integration including agent-based solutions.
• Provide technical leadership, act as a subject matter expert and advisor to partners on the feasibility and impact of emerging technologies in the AI data space.
• Architect solutions to operationalize machine learning models, including model deployment, monitoring, and lifecycle management.
• Ensure compliance with applicable AbbVie software development, lifecycle policies, and procedures.
• Present complex graphs and GenAI relationships through visualizations, translating technical results into business insights. Create compelling data-driven presentations and dashboards for executives, project sponsors, and non-technical audiences.

Qualifications

Required:

• Bachelor’s Degree with 8 years’ experience; Master’s Degree with 7 years’ experience; PhD with 3 years’ experience.
• Must have experience with Neo4j & Elastic Search database technologies.
• Must have experience with supporting AI/ML initiatives including LLM integration, Data Agents, Agentic Memory, and Graph RAG systems.
• Must have experience with text mining and unstructured data processing.
• Must have experience with Pharmaceutical R&D industry-centric datasets.

Preferred:

• Background in life sciences or work experience in the pharmaceutical industry preferred
• Master’s degree preferred

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​
• This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company’s sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.​

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html