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Senior Data Scientist – Epros
| Company | Thyme Care |
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| Location | Nashville, TN, USA |
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| Salary | $140000 – $180000 |
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| Type | Full-Time |
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| Degrees | |
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| Experience Level | Senior |
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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
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.
Preferred Qualifications
- Experience. You have worked with large datasets, ideally in a healthcare-focused technology startup with mature data structures and pipelines as an Analytics Engineer, Data Scientist, or Data Engineer.
- Technical ability. Proficiency in data modeling, transformation, and claims analytics is crucial. Familiarity with dbt is preferred, but we are open to candidates willing to learn it quickly. A working knowledge of Python and experience with Looker or similar BI tools for data analysis and visualization is a plus.
