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As a Staff 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 growth and improve quality of care.
Job Responsibility:
Gain a deep understanding of our data platform and lead improvements to our core data models and pipelines
Own and lead the development of data models that make it possible to analyze the nuances of our internal operational systems
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
Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture
Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company
Requirements:
Deep experience working with healthcare data such as electronic health records, claims, or prior auth
Deep expertise in analytics, data modeling, and data transformation
Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex 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
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
Comfort with ambiguity
Nice to have:
Previous direct involvement with member-facing operational teams (such as care navigation or member service teams) is a plus
A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus