Data Scientist

The Role:

We are seeking a Data Scientist to support Carrot’s growing Outcomes Analytics and Growth & Engagement efforts by developing structured, scalable approaches to measuring member engagement, program performance, health outcomes, and revenue impact. This role blends advanced analytics, strategic thinking, and business acumen to inform customer-facing outcomes, drive member engagement, provide pre-sales insights, and assist internal decision-making.

This individual will work closely with Clinical Outcomes, Growth & Engagement, Finance, and Carrot’s Enterprise Data Team to connect complex, multi-source data (e.g., product, engagement, marketing, operational, and claims-adjacent data) into defensible measurement frameworks. While not responsible for core data engineering or infrastructure, the role requires strong hands-on experience working with large datasets, leveraging a modern cloud-based analytics stack, and translating analytical findings into clear, actionable insights for senior stakeholders.

Key Responsibilities:

• Develop and maintain measurement frameworks for engagement, outcomes, and ROI that support customer reporting, pre-sales analytics, and strategic planning
• Lead performance and program evaluations, including assessing effectiveness of engagement strategies, clinical programs, and interventions using observational, quasi-experimental, or benchmark-based approaches
• Apply predictive analytics, forecasting, and scenario modeling to support growth strategy, customer projections, capacity planning, and network optimization
• Conduct ad hoc analyses to answer time-sensitive business, clinical, or customer questions, forming defensible recommendations when data is incomplete or evolving
• Serve as an analytics subject matter expert across the member lifecycle—from enrollment and activation through engagement, outcomes, and retention
• Analyze member behavior across digital product usage, content engagement, marketing touchpoints, and care pathways to evaluate impact on health outcomes and revenue
• Define, monitor, and evolve KPIs and benchmarks aligned with business objectives, including engagement rates, conversion, utilization, and outcomes value
• Support forecasting, scenario modeling, and predictive analyses to inform growth strategy, customer projections, and network optimization
• Conduct rigorous data quality checks, identify discrepancies, and partner with BI, data science, product, and engineering to improve data reliability and fitness for purpose
• Translate complex analytical findings into executive-ready narratives, customer-facing materials, and clear recommendations that can be defended even when data is incomplete
• Collaborate cross-functionally to support experimentation, campaign evaluation, and opportunity sizing using behavioral and engagement analytics
• Contribute to documentation, knowledge sharing, and mentoring to strengthen analytics best practices across teams

What We’re Looking For

• Deep experience in advanced analytics, engagement analytics, and outcomes measurement, ideally within healthcare, benefits, or digital health
• Strong proficiency working within a modern, cloud-based analytics enviro