Senior Data Scientist Provider Data Science

## About the Company We exist to create a more connected, compassionate, and confident experience for people with cancer and those who care for them. We make it easier to get answers, access high-quality care quickly, and feel supported throughout treatment and beyond. Today, Thyme Care is a market-leading value-based oncology care enabler, partnering with national and regional health plans, providers, and employers to deliver better outcomes and lower costs for thousands of people across the country. Our model combines high-touch human support with powerful technology and AI to bring together everyone involved in a person's cancer journey: caregivers, oncologists, health plans, and employers. As a tech-native organization, we believe technology should strengthen the human connection at the center of care. Through data science, automation, and AI, we simplify complexity, improve collaboration, and help care teams focus on what matters most: supporting people through cancer. Looking ahead, our vision is bold: to become a household name in cancer care, where every person diagnosed asks for Thyme Care by name. If you're inspired to make cancer care more human and to help reimagine what's possible, we'd love to meet you. Together, we can build a future where every person with cancer feels truly cared for, in every moment that matters. ## About the Role As a Senior Data Scientist, you will join our Data team to help us build and maintain strong analytic capabilities supporting Thyme Care's mission. You will model data, create visualizations to report to stakeholders, and deliver insights that drive action. In this position, you will partner with our Product, Engineering, Operations, and Data Science teams to define and lead improvements to our data pipelines, setting direction that enables faster, more effective care delivery and measurement. You will own efforts to reduce latency between our data and applications, designing and building a scalable data architecture and healthcare data models that enable our pharmacy interventions and provider incentive programs. ## Responsibilities - Gain a deep understanding of our core data architecture and lead improvements to our data pipelines, balancing near-term needs with long-term architectural health. - Own and lead the development of data models that make it possible to analyze the nuances of our EMR drug delivery and drug economics in ways that scale across contracts and pharmacy interventions. - Establish key KPIs and reporting standards that help stakeholders make our operations more efficient. - Partner with stakeholders to understand and translate their business requirements into technical plans. This involves developing data models, pipelines, and analytics dashboards. For example, you own the end-to-end data life cycle of data ingestion from a practice, standardization and cleaning, core modeling and BI dashboarding for both internal and external partners. - Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company. Additionally, you will leverage our data assets for business opportunities and strategic initiatives at Thyme Care. ## Requirements - Deep experience working with healthcare data such as electronic health records, claims, or prior auth. - Expertise in analytics, data modeling, and data transformation, and have used that expertise to influence decisions beyond your immediate scope. - Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines that ensure reliability and scalability across the data platform. - Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines. - A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus. - Previous direct involvement drug or Medicare Part D data is a plus. ## What Leads to Success - Act with our members in mind. Thyme Care's mission, and in particular, our member experience, matters deeply to you. - Move with purpose. You're biased to action. You know how to identify and prioritize your initiative's needs and do what it takes to ensure that urgent and important needs are acted on immediately. - Seek diverse perspectives. You are humble and actively seek feedback from others, eager to learn and share knowledge. - Experience. You have worked with large healthcare datasets, ideally in a health plan or healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer or Data Engineer. Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis. - Technical ability. You have deep expertise in analytics, data modeling, and data transformation, with strong proficiency in dbt and SQL to build and maintain data models and pipelines. A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus. - Clear communication. You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders. - Comfort with ambiguity. You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations. ## Our Values At Thyme Care, our core values guide us in everything we do: Act with our members in mind, Move with purpose, and Seek diverse perspectives. They anchor our business decisions, including how we grow, the products we make, and the paths we choose—or don't choose. Our salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. Individual pay decisions