Data Scientist; Product & Ops

Guide data science across product and operations by turning uncertain business questions into rigorous analysis and practical recommendations. As a senior technical partner to leaders and teams spanning product, engineering, clinical work, and operations, you will shape priorities, improve decision-making, and mentor peers while helping establish the data science function’s direction.

• Translate ambiguous questions from business and clinical partners into analyses and recommendations that inform strategy.
• Define useful metrics, present evidence to leaders, and influence decisions and roadmaps.
• Develop statistical models and analytical approaches that lead to adopted recommendations and measurable outcomes.
• Apply Bayesian and frequentist methods, and guide causal analysis using approaches such as experimentation, difference-in-differences, instrumental variables, and propensity scores.
• Work with analytics and data engineering to build repeatable frameworks and enable responsible self-service analysis.
• Use language models to extract insights from text, and mentor data science peers while helping shape team practices.

• At least seven years in data science or analytics, including three years in a technical lead capacity.
• Strong experience navigating ambiguous data environments and communicating statistically sound approaches to varied stakeholders.
• Examples of modeling or analysis that led to adopted recommendations and visible impact.
• Detailed knowledge of causal inference methods, such as randomized trials, difference-in-differences, inverse probability weighting, propensity scores, instrumental variables, and variance reduction.
• Technical proficiency with SQL, Python or R, modern data transformation workflows, OLAP databases, dbt, and BI tools; experience scaling experimentation programs.
• Strong communication and influencing skills, especially with senior leaders.
• Candidates within a 75-minute commute of the New York City office are expected onsite four days per week.

• Healthcare or startup experience, and interest in applying data science to improve healthcare outcomes.

• Target base salary is $190,000–$270,000 annually, determined by factors including experience, expertise, and level. Additional compensation may include stock options and benefits for full-time employees.