Product Data Scientist

We are looking for a Product Data Scientist with strong banking/financial services experience to partner with Product teams and drive data-informed decisions across consumer lending products. The ideal candidate combines product analytics, experimentation, statistical modeling, and strong communication skills.

Must-Have Skills:

• 5+ years of experience in Data Science, Product Analytics, Applied Statistics, or similar roles
• Must have banking, fintech, consumer lending, or financial services experience
• Strong experience with product analytics and experimentation (A/B testing)
• Strong knowledge of statistics, hypothesis testing, and causal inference
• Advanced SQL skills
• Strong Python or R skills
• Experience developing and validating statistical/ML models
• Experience with funnel, cohort, conversion, segmentation, and product metrics
• Hands-on experience with data pipelines, transformations, and data modeling
• Experience working directly with Product Managers and Engineering teams
• Strong understanding of consumer lending / credit products, underwriting, risk, or pricing
• Excellent communication skills with both technical and business stakeholders
• Experience using AI/LLM tools such as ChatGPT, Claude, or similar for analytics and productivity
• Bachelor's degree or higher in a quantitative field, or equivalent experience

Nice to Have:

• Experience with credit/risk modeling or pricing strategy
• dbt, Airflow
• Segment, Amplitude, mParticle, or similar product analytics tools
• Experience with AWS
• Agile/Scrum product team experience
• Home improvement or contractor financing experience