Data Scientist: Product
ThatchHealthcare Benefits company
Austin, United States$160,000 - $230,000 USDMid
Index Ventures
Andreessen Horowitz
General Catalyst
ADP Ventures
SemperVirens
PeopleTech Partners
Data & AINew
About the role
TL;DR
Analyze user behavior and data to inform product strategy and improvements.
- •About Thatch For most people, health insurance is something that happens to them: a plan chosen by someone else, with little room to fit their life.
- •Thatch is changing that.
- •We help companies give every employee a real healthcare budget instead of a one-size-fits-all plan, so people can choose the coverage and care that works for them, and employers get predictable costs they can control.
- •It’s a simple idea, but making it real means solving hard problems across healthcare, payments, and technology, and we’re just getting started.
- •We look for people who like solving complex problems, use good judgment, and are comfortable working through ambiguity.
- •People here care deeply about our customers, take real responsibility for what gets built, and are driven by doing work that matters.
- •About the role Thatch is changing how health benefits work.
- •We're building software that makes it easier for businesses to offer health coverage and gives employees more choice and control.
- •We're looking for a Data Scientist to help our Product and Operations teams understand how people use Thatch and where we can make the biggest impact.
- •You'll own the data models and metrics behind our product, from plan shopping and enrollment to reimbursements and everyday benefit usage.
- •You'll dig into user behavior, uncover friction, and design experiments that help us decide what to build and improve next.
- •This is a hands-on role where you'll build the analytics foundation teams rely on, turn complex data into clear recommendations, and help shape our product strategy.
- •What you will do Partner with Product and Operations to answer important questions and inform product priorities.
- •Define and own product metrics, from company-wide success measures to feature-level performance.
- •Analyze user journeys, engagement, and operational data to uncover friction and opportunities.
- •Design and evaluate experiments to measure the impact of product changes.
- •Build and maintain dbt models, metrics, dashboards, and analytical tools that teams rely on.
- •Improve data quality, instrumentation, and self-serve analytics so teams can make confident decisions.
- •What we are looking for Experience using analytics, data science, and experimentation to influence product decisions.
- •Strong SQL skills and experience with dbt or similar data transformation tools.
- •Experience building analytical data models and dashboards using BI or visualization tools.
- •Proficiency in Python for analysis, experimentation, or statistical modeling.
- •Strong product judgment and the ability to turn complex findings into clear, actionable recommendations.
- •Comfortable working independently, navigating ambiguity, and partnering across teams.
- •Tools and tech stack Data: Snowflake, SQL, dbt Analytics: Omni, Hex, Python Development: GitHub, CI/CD AI: Claude, ChatGPT, Copilot, and other tools that help us work faster and smarter You won't work directly in our application layer day-to-day, but familiarity with source data and event instrumentation from systems like Ruby on Rails is helpful.
- •Experience that stands out Influencing product roadmaps and prioritization through data.
- •Building experimentation practices, including guardrail metrics, sample-size guidance, or analysis frameworks.
- •Analyzing funnels, retention, cohorts, or engagement across complex user journeys.
- •Building statistical or machine-learning models for segmentation, forecasting, propensity, or recommendations.
- •Experience in healthcare, fintech, or other regulated industries.
- •What to expect We aim to move quickly, and most candidates complete the process within 2–3 weeks.
- •You can expect: An initial conversation with a recruiter.
- •A conversation with the hiring manager and a lightweight Python coding exercise.
- •A take-home analytics exercise.
- •A review of your work, a data modeling and metrics exercise with the team, and a discussion with cross-functional partners.
- •A final conversation with engineering and company leadership.
- •Estimated Compensation Range $160,000-$230,000 USD
Required skills
SQLdbtPythonProduct ManagementA/B Testing
Nice-to-have skills
SnowflakeRuby on Rails
Domain expertise
healthcare
Tech stack
PythonSQLdbtSnowflakeCI/CDAnthropic APIOpenAI APIRuby on Rails