Senior Data Scientist

Summary

Join Thyme Care's Data team as a Senior Data Scientist to build and maintain strong analytic capabilities supporting our mission of transforming cancer care. You will model data, create visualizations, and deliver actionable insights by collaborating with Clinical and Operations teams. This role involves improving data models and pipelines, building dbt models, developing Looker dashboards, and measuring intervention effectiveness. You will work with large healthcare datasets, utilizing SQL and potentially Python, and communicate effectively with both technical and non-technical stakeholders. The ideal candidate possesses expertise in healthcare data and analytics, along with experience in a fast-paced startup environment.

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

Responsibilities

• Model data, create visualizations to report to stakeholders, and deliver insights that drive action
• 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
• 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 with electronic Patient-Reported Outcomes (ePROs) data
• 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
• 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

Benefits

• Equity
• Benefits
• Other opportunities at Thyme Care
• Base salary for this role is $140,000-$180,000