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.
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.
- 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.
- 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.
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.
Skills Required
- Experience using analytics, data science, and experimentation to influence product decisions
- Strong SQL skills
- 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 ability to turn complex findings into clear, actionable recommendations
- Ability to work independently, navigate ambiguity, and partner across teams
- Experience influencing product roadmaps and prioritization through data
- Experience building experimentation practices, including guardrail metrics, sample-size guidance, or analysis frameworks
- Experience analyzing funnels, retention, cohorts, or engagement across complex user journeys
- Experience building statistical or machine-learning models for segmentation, forecasting, propensity, or recommendations
- Experience in healthcare, fintech, or other regulated industries
Thatch (thatch.ai) Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Thatch (thatch.ai) and has not been reviewed or approved by Thatch (thatch.ai).
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Healthcare Strength — The company advertises exceptionally generous health coverage delivered through its own ICHRA-based platform and a curated marketplace. Partnerships and add-ons broaden access to services such as mental health, enhancing the perceived depth of coverage.
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Flexible Benefits — Benefits center on personalization, allowing employees to choose individual medical, dental, and vision plans and use remaining allowances via a spend card. Integrations and APIs aim to simplify administration while preserving choice.
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Leave & Time Off Breadth — Unlimited PTO alongside paid company holidays is highlighted as part of the total rewards package. This breadth of time off is positioned within a flexible, remote-first culture.
Thatch (thatch.ai) Insights
What We Do
Thatch is an all-in-one platform that makes it easy to offer your employees the most personalized healthcare experience. You decide what to spend, and your team gets great health benefits.
