Summary
Thatch is rewiring how health benefits work by building software that gives employees control over their benefits. They are seeking a Data Scientist to enhance decision-making through rigorous data models and analyses, focusing on product, commercial, financial, and operational insights.
Responsibilities
- Partner with stakeholders across Product, GTM, Finance, and Operations to turn ambiguous questions into clear analytical approaches and recommendations
- Analyze product, customer, funnel, marketing, and financial data to explain performance and identify opportunities
- Own how we measure go-to-market performance by building trusted metrics that connect attribution, CRM, and product usage data
- Build and maintain the dbt models, metrics, dashboards, and analytical tools the company runs on
- Improve data quality and enable self-serve analytics through testing, monitoring, documentation, and better data products
Skills
- Experience using data to answer business questions and influence decisions
- Strong SQL skills and experience with dbt or similar data-transformation tools
- Experience building analytical data models and communicating insights through BI or visualization tools
- Working knowledge of Python for analysis, automation, or statistical modeling
- Strong stakeholder partnership, communication, and judgment when balancing speed, rigor, and maintainability
- Partnering closely with Growth, Marketing, Revenue Operations, or other GTM teams on acquisition, funnel, lifecycle, or marketing analytics
- Designing and analyzing geo experiments or other quasi-experimental studies when randomized experiments aren't feasible
- Building or applying statistical models such as lead scoring, forecasting, or segmentation
- Creating internal tools or automations that improve how teams work
- Working in healthcare, fintech, or other complex, regulated domain
Qualifications
Must Haves
- Experience using data to answer business questions and influence decisions
- Strong SQL skills and experience with dbt or similar data-transformation tools
- Experience building analytical data models and communicating insights through BI or visualization tools
- Working knowledge of Python for analysis, automation, or statistical modeling
- Strong stakeholder partnership, communication, and judgment when balancing speed, rigor, and maintainability
Nice to Haves
- Partnering closely with Growth, Marketing, Revenue Operations, or other GTM teams on acquisition, funnel, lifecycle, or marketing analytics
- Designing and analyzing geo experiments or other quasi-experimental studies when randomized experiments aren't feasible
- Building or applying statistical models such as lead scoring, forecasting, or segmentation
- Creating internal tools or automations that improve how teams work
- Working in healthcare, fintech, or other complex, regulated domain