Lead claims-based studies and actuarial modeling to quantify Nourish’s impact on healthcare spending, utilization, total cost of care, PMPM savings, and ROI. Apply causal inference, risk adjustment, and matched comparison methods to evaluate care programs. Translate findings into reports and executive narratives for health plan partners while building reusable datasets and analytical workflows with Analytics Engineering.

Own product analytics and data science for a business-critical product area. Develop production-ready churn, resurrection, and targeting models; define metrics; analyze experiments; apply causal inference; and deliver actionable recommendations with quantified business opportunities. Partner closely with Product, Engineering, Design, and Growth teams while contributing to experimentation methodology, standards, and tooling.