Product Data Scientist: Shape Health Benefits

Thatch; Oregon; Hybrid; USD 160,000 - 230,000; Full time

Job summary

Thatch is hiring a Data Scientist in Oregon to help our Product and Operations teams understand how people use our healthcare budgeting platform and where to make the biggest impact.

You'll own data models and metrics from plan shopping to reimbursements, digging into user behavior and designing experiments to guide product decisions. This hands-on role builds analytics foundations and turns data into actionable recommendations.

Qualifications

• 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.
• Experience using analytics, data science, and experimentation to influence product decisions.
• Strong product judgment and the ability to turn complex findings into clear, actionable recommendations.
• Comfortable working independently, navigating ambiguity, and partnering across teams.

Responsibilities

• 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.

Skills

SQL

Python

Data analysis

Experimentation

Product judgment

Independent work

Tools

dbt

Snowflake

GitHub

CI/CD

Omni

Hex

Job description

Thatch is hiring a Data Scientist in Oregon to help our Product and Operations teams understand how people use our healthcare budgeting platform and where to make the biggest impact.

You'll own data models and metrics from plan shopping to reimbursements, digging into user behavior and designing experiments to guide product decisions. This hands-on role builds analytics foundations and turns data into actionable recommendations.