Product Data Scientist

Join Clair as a Product Data Scientist, where you'll own the experimentation and analytics layer that drives product and underwriting decisions. You'll design experiments, define success metrics, and translate data into actionable product strategy. This role sits at the intersection of product, finance, and risk, and you'll act as the central owner of all A/B testing at Clair. You'll also define how success is measured, build forecasting frameworks, and ensure product decisions are grounded in strong unit economics.

• Posséder et gérer l'écosystème d'expérimentation de Clair, y compris la conception, l'exécution et l'analyse des tests A/B.
• Servir de source unique de vérité pour toutes les expériences, en garantissant la cohérence, la rigueur et la bonne interprétation des résultats.
• Traduire les résultats des modèles (par exemple, les scores de risque) en décisions commerciales concrètes, telles que les seuils d'approbation et les stratégies de prêt.
• Strong foundation in statistics and experimental design, including A/B testing, causal inference, and hypothesis testing
• Proven experience owning end-to-end experimentation programs and influencing product decisions through data
• Strong business intuition and ability to think in terms of trade-offs, unit economics, and growth vs. risk
• Demonstrated ability to translate complex analyses into clear business insights and recommendations
• 5+ years of experience in data science, product analytics, or a related analytical role
• Strong SQL skills and experience working with large datasets
• Experience working cross-functionally with Product, Finance, or Strategy teams in a fast-paced environment
• Experience in fintech, lending, or credit-related products
• Familiarity with underwriting concepts such as risk scoring, approval strategies, and loss modeling
• Experience building forecasting models for business or financial metrics
• Proficiency in Python or R for data analysis
• Experience with experimentation platforms and statistical tooling