Senior Data Scientist, Provider Data Science

Thyme Care

21h

About The Position

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.

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.
Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis.
Strong proficiency in dbt and SQL to build and maintain data models and pipelines.
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.

Nice To Haves

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.

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.