• Proactively identify data science use cases throughout the organization as well as new datasets. • Work cross-functionally to develop solutions. • Build and deploy ML models to better identify populations requiring support/palliative care and provide clinical decision support. • Work with operational stakeholders (e.g. clinical delivery, member/provider engagement) to define and prioritize analytic needs. • Develop business intelligence solutions and conduct ad-hoc analyses to meet these needs and support data-driven decision making. • Collaborate with our actuarial team to measure/forecast value-based contract (VBC) performance, understand savings drivers, and underwrite new contracts. • Support customer-facing analytics and reporting including summarizing Tuesday Health impact, preparing materials for JOCs, and measuring attainment of SLAs. • Build and manage assets in Tuesday’s data lake (Azure Databricks, dbt) leveraging a variety of datasets including client medical/pharmacy claims, ADT/HIE, FHIR, our internal care management system (Elevate), and other SaaS tools leveraged by the business (HubSpot, Zoom, Elation) • Manage cloud infrastructure to support Tuesday Health’s data lake including Azure Databricks and other Azure resources for facilitating data ingestion/delivery (functions, pub/sub, SFTP, etc.) • Maintain the semantic layer and roles-based access controls for Tuesday’s business intelligence systems (ThoughtSpot, PowerBI)