Senior Data Scientist

About Pair Team

At Pair Team, we're an innovative, mission-driven company reimagining how Medicaid serves the most underserved populations. As a tech-enabled medical group, we deliver whole-person care—clinical, behavioral, and social—by partnering with organizations deeply connected to the communities we serve.

We're building a powerful care management platform that leverages AI and automation to scale meaningful, human-centered care. Our work is driven by top talent across clinical care, technology, product, and operations—working together to improve access and outcomes for all our patients.

We're one of the largest Enhanced Care Management providers in California and are on track to build the nation's largest clinically integrated network supporting high-need Medicaid members. Our model has demonstrated real impact, including a 58% reduction in emergency department visits and a 29% reduction in hospital admissions.

At Pair Team, we're not just delivering care—we're building the future of a more equitable, community-rooted Medicaid system.

• Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most
• TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team
• Axios: Pair Team collects $9M for Medicaid-based care

The Role

We're hiring a Senior Data Scientist to help us unlock insights across the entire analytics stack — from transforming raw data in Snowflake and dbt, to modeling outcomes, to building dashboards that guide clinical teams and company strategy.

You'll report directly to our Head of Data and work closely with both product and clinical teams. This is a highly collaborative IC role with high visibility and room to grow.

What You'll Do

• Own analytics projects end-to-end — scoping, modeling, and delivering insights
• Build and maintain dbt models and Looker dashboards
• Work with clinicians and product leaders to define metrics and answer key questions
• Apply statistical and ML methods to problems like churn, engagement, and patient risk
• Contribute to observational study designs and research output
• Help shape the future of our data science practice

You Might Work On

• Modeling patient disengagement to reduce churn
• Evaluating the impact of new care outreach programs
• Developing a risk score to prioritize high-need patients
• Supporting a journal submission with cohort analysis and stats

What We're Looking For

• 2–5 years in data science, analytics, or similar roles
• Strong SQL and experience with dbt or similar tools
• Proficient in Python or R (both is a plus)
• Strong communicator who can bridge technical and clinical teams
• Curious, scrappy, thoughtful — and excited to work in a startup
• Healthcare experience is a big plus, but not required

Why Join Us

• Mission-driven work that improves real lives
• High ownership, high-impact role
• Smart, supportive teammates who love solving hard problems
• A culture that values rigor, empathy, and action

Because We Value You

• Competitive salary: $140,000-$190,000
• Equity compensation package
• Flexible vacation policy – take the time you need to recharge
• Comprehensive medical, dental, and vision coverage
• 401(k) through Guideline
• 100% company-sponsored short and long-term disability and life insurance
• Subsidized backup childcare and caregiver supports through Wellthy
• Work entirely from the comfort of your own home
• Monthly $100 work from home expense stipend
• We provide the equipment needed for the role
• Opportunity for rapid career progression with plenty of room for personal growth!
• Travel reimbursements for your on-site engagement days

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__Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law.

__Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use.

__Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law.

__Pair Team participates in E-Verify to verify employment eligibility for new hires.

Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use.

_The talent team will only reach out via email from @pairteam.com email addresses. We do not conduct any TA business outside of our @pairteam.com emails. If you're ever concerned about spam or fraudulent activity, please reach out to recruiting@pairteam.com.

Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries sent to recruiting@pairteam.com. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below.

Thank you!