Product Data Scientist

Role overview

Join Clair as a Product Data Scientist. You will own the experimentation and analytics layer that informs both product and underwriting decisions, translating data into actionable strategy.

Responsibilities

• Own Clair’s experimentation ecosystem: design, execute, and analyze A/B tests across underwriting and product experiences.
• Translate model outputs (e.g., risk scores) into business decisions such as approval thresholds and lending strategies.
• Define and standardize core metrics, including how to measure:
  • model impact
  • user behavior
  • unit economics
• Communicate insights by translating complex analyses into clear recommendations for product strategy.

Requirements

• End-to-end experimentation ownership with proven influence on product decisions.
• Strong business intuition: reasoning in terms of trade-offs, unit economics, and growth vs. risk.
• Strong SQL skills and experience working with large datasets.
• 5+ years experience in data science, product analytics, or a related analytical role.
• Cross-functional experience with Product, Finance, or Strategy in a fast-paced environment.
• Strong foundation in statistics and experimental design, including:
  • A/B testing
  • causal inference
  • hypothesis testing
• Ability to clearly present analytics and business insights.

Nice-to-haves

• Experience in fintech, lending, or credit products.
• Experience building forecasting models for business/financial metrics.
• Familiarity with underwriting concepts: risk scoring, approval strategies, loss modeling.
• Proficiency in Python or R for analysis.
• Experience using experimentation platforms and statistical tooling.