Senior Data Scientist, Care Model Insights

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 collaborate closely with our Clinical and Operations teams to identify opportunities to improve outcomes, operationalize those opportunities via dbt models that propel care team action, and measure the activity and utilization based outcomes.

Responsibilities

• Gain a deep understanding of our data platform and contribute to improving our data models and pipelines.
• Collaborate with other data scientists, data engineers, and analysts to build scalable and sustainable data models and pipelines.
• Collaborate with stakeholders to understand and translate their questions and business requirements into technical plans to build analytic products.
• Work side-by-side with Clinical and Operations counterparts to measure the impact of our interventions and roll up your sleeves to dig in and do root cause analysis.
• Develop data models and pipelines with dbt.
• Build Looker dashboards and self-service tools to help stakeholders track key performance indicators (e.g., survey completion rates, ePROs results, impact on utilization) within cohorts of our treatment population.
• Take ownership and lead the development of data models to measure the effectiveness of our interventions and build analytics and reporting to demonstrate this internally and externally.
• Ensure that internal customers have fast, accurate, and reliable access to data, supporting their decision-making with high-quality analytics and reporting.

Requirements

• Expertise in working with large healthcare or operational datasets (medical / pharmacy claims, eligibility, etc.), ideally in a healthcare-focused technology startup with mature data structures and pipelines.
• Experience designing data models to support analytics and building the data transformations in SQL to bring them to life.
• An ability to 'see beyond the question' to develop scalable analytics solutions that are easily learned and reused by internal customers.
• Experience with, or willingness to quickly learn, dbt.
• Experience with, or willingness to quickly learn, Looker or other BI tools.
• Experience with electronic Patient-Reported Outcomes (ePROs) data is a large plus.

Nice-to-haves

• Proficiency in data modeling, transformation, and claims analytics.
• A working knowledge of Python and experience with Looker or similar BI tools for data analysis and visualization.

Benefits

• Competitive salary based on qualifications, experience level, skillset, and internal equity.
• Equity opportunities.
• Comprehensive benefits package.