Data Scientist: Product
Austin, Texas, United States; New York, New York, United States; Remote (US); San Francisco, California, United States
- Pay
USD 160,000–230,000/yearAnnual period assumed — pay source
Estimated Compensation Range $160,000—$230,000 USD
Read the full posting- Work setting
Remote — work setting source
Listed location: Austin, Texas, United States; New York, New York, United States; Remote (US); San Francisco, California, United States
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingThatch is changing how health benefits work.
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.
Partner with Product and Operations to answer key questions and set priorities
Define and own product metrics, from company-wide to feature-level
Analyze user journeys and operational data to uncover friction
Design and evaluate experiments to measure product changes
Build and maintain dbt models, metrics, dashboards and analytical tools
From the employer’s posting
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.
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.
What you’ll bring
All qualificationsCore experience
- Strong SQL skills and experience with dbt or similar tools
- Experience using analytics and experimentation to influence product decisions
- Experience building data models and dashboards in BI tools
- Proficiency in Python for analysis, experimentation or statistical modeling
- Strong product judgment and clear, actionable recommendations
Qualification wording
Strong SQL skills and experience with dbt or similar data transformation tools.
Experience using analytics, data science, and experimentation to influence product decisions.
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.
Tools in this posting
- Python
- Ruby
- SQL
- dbt
- Snowflake
Source — Tool mentions in context
- 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.
- Data: Snowflake, SQL, dbt - Analytics: Omni, Hex, Python - Development: GitHub, CI/CD
- An initial conversation with a recruiter. - A conversation with the hiring manager and a lightweight Python coding exercise. - A take-home analytics exercise.
- 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
- 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.
Tools and tech stack - Data: Snowflake, SQL, dbt - Analytics: Omni, Hex, Python
- 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.
About Thatch
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 23, 2026 · 6 days ago
- Recorded sightings
- 10
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on thatch.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Estimated Compensation Range $160,000—$230,000 USD
- Location & working pattern
Austin, Texas, United States; New York, New York, United States; Remote (US); San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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