Staff Data Scientist, Healthcare Economics

Pomelo Care is a virtual medical practice providing technology-enabled care for women and children. The Staff Data Scientist will lead the measurement, evaluation, and communication of the company’s clinical and economic impact, including analyses for payer negotiations, value-based offerings, and published research. The role also involves building data infrastructure, engaging external partners, and serving as an expert in statistics and health economics.

Responsibilities:

• Own the question as well as the analysis. Take large, ambiguous mandates and break them into definitions, assumptions, and key questions to align stakeholders
• Architect and execute analyses that assess the outcomes of Pomelo Care's programs in a scalable, repeatable way. Where existing approaches don't reach, you'll extend them or build something new, and stand behind those choices under scrutiny
• Lead Pomelo's technical engagement with external partners: presenting directly, aligning on methodology and parameters, and building credibility with evaluation teams
• Drive our evidence strategy end to end: partner-facing reporting, conference presentations, and peer-reviewed publications
• Build data tables, pipelines, and dashboards that combine diverse health data sources and make insights accessible across teams
• Identify opportunities to scale and automate insights in partnership with the data and analytics engineering teams
• Serve as Pomelo's expert on statistics and health economics: define the methodologies we use for evaluation, mentor other data scientists, and guide where we invest technically

Requirements:

• 6+ years professional experience developing statistical models to answer complex healthcare problems using varied techniques (e.g., propensity score matching, linear and logistic regressions, k-means clustering, difference-in-differences, decision trees)
• Experience with cost of care or clinical outcomes target setting at a payer, managed care organization, integrated delivery network, value-based care provider, or healthcare consulting firm
• Experience presenting statistical analyses to external stakeholders with varied technical expertise
• Proficient in Python or R
• Proficient in SQL
• You do your best work when the goal is ambiguous
• You are comfortable telling others "here's what I recommend and why" rather than waiting to be told what to analyze
• You have the technical depth to run a publication-grade evaluation and the judgment to know when a scrappy proof-of-concept is the better call
• You never lose sight of why the work matters to the business
• Excellent written and verbal communicator, comfortable across technical and non-technical audiences
• Formal training in statistics, econometrics, or actuarial science
• Experience with risk-based or value-based contracting, including opportunity sizing and ROI modeling
• Experience with medical claims data
• Peer-reviewed publications in health outcomes or health economics
• Experience with data dashboarding or visualization (e.g., Looker, Tableau, Metabase)
• Experience working with dbt