Staff Data Scientist

Thyme Care • New York City, NY

3d • $191,250 - $225,000

About The Position

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. Gain a deep understanding of our data platform and lead improvements to our core data models and 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 internal operational systems (including interconnected member profiles, tasks, communications, and forms) in ways that scale across teams and use cases. 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 may use dbt to build models that analyze operational data to determine whether the speed of an intervention impacts its efficacy. Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture to support our team's growth and long-term analytical needs. 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.
• You have deep 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
• You have worked with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines.
• 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.
• You can effectively convey your thoughts and ideas to both technical and non-technical colleagues and stakeholders.
• 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

• 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.

Responsibilities

• Gain a deep understanding of our data platform and lead improvements to our core data models and 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 internal operational systems (including interconnected member profiles, tasks, communications, and forms) in ways that scale across teams and use cases.
• 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.
• Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture to support our team's growth and long-term analytical needs.
• Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company.
• Leverage our data assets for business opportunities and strategic initiatives at Thyme Care.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed