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 GTM and Marketing teams understand what's driving growth and where to invest next. You'll build the data models and measurement systems behind our growth funnel, from acquisition and conversion to enrollment, retention, and expansion.
You'll dig into performance, uncover opportunities, and design experiments to help us make smarter growth decisions. This is a hands-on role where you'll work closely with teams across the business, turn complex data into clear recommendations, and help shape Thatch's growth strategy.
What you will do- Partner with GTM and Marketing to answer important business questions and guide growth decisions.
- Analyze acquisition, conversion, retention, and marketing performance to identify opportunities.
- Own GTM measurement, connecting attribution, CRM, and product data into trusted metrics.
- Build and maintain dbt models, dashboards, and analytical tools that teams rely on.
- Design and evaluate experiments to understand what's working and where to invest.
- Improve data quality and make insights more accessible through self-serve analytics and automation.
- Experience using analytics, data science, and experimentation to drive growth, marketing, or GTM outcomes.
- 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 business judgment and the ability to turn complex findings into clear, actionable recommendations.
- Comfortable working independently, navigating ambiguity, and partnering across teams.
- dbt and SQL for modeling.
- Snowflake as our data warehouse (migrating from Redshift).
- Omni for BI, with tools like Hex for ad hoc analysis.
- GitHub with CI/CD for version control.
- AI tools (e.g., Claude, ChatGPT, Copilot) are woven into our daily development and analysis workflow.
You won’t work directly in our application layer day-to-day, but understanding source data from systems like Ruby on Rails is important.
Experience that stands out- Experience with Growth, Marketing, or Revenue Operations analytics, including acquisition, attribution, and lifecycle performance.
- Measuring marketing incrementality through holdouts, geo experiments, lift tests, or similar methods.
- Building statistical or machine-learning models for forecasting, segmentation, lead scoring, or churn.
- Creating tools and automations that help teams make better, faster decisions.
- 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 building analytics models and dashboards in a production environment.
- Strong SQL skills.
- Experience with dbt or similar modeling tools.
- Working knowledge of Python for ad-hoc analysis.
- Strong intuition for metric design including grain, aggregation, and edge cases.
- Experience working closely with stakeholders to define problems and translate them into metrics and models.
- Familiarity with Snowflake (data warehouse).
- Experience with GitHub and CI/CD for version control and deployment.
- Understanding source data from application systems (e.g., Ruby on Rails).
- Experience with data testing, monitoring, and building observable data systems.
- Partnering with finance, growth, or go-to-market teams.
- Building self-serve analytics tools to reduce ad hoc requests.
- Experience working in healthcare, fintech, or other regulated domains.
- Familiarity with Omni BI, Hex, and migrating/working with Redshift.
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).
-
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.
-
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.
-
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.
