Job Description

HIRING: Product Data Scientist Home Improvement Lending

Location : San Francisco, CA

Work Arrangement : Hybrid 3 Days Onsite / 2 Days WFH

Experience : 5+ Years

Industry : Banking / Financial Services

Duration : Long-Term Contract

Engagement : C2C Contractual Basis

We are looking for a Product Data Scientist to work closely with Product Management and help drive data-informed decisions for a Home Improvement lending product .

• 5+ years of experience in Data Science, Product Analytics, Applied Statistics, or Analytics Consulting
• Banking / Financial Services experience required
• Consumer lending, fintech, credit, or home improvement financing experience preferred
• Strong SQL and Python or R
• Strong knowledge of A/B testing, experimentation, hypothesis testing, and causal inference
• Experience with product analytics, funnel analysis, cohort analysis, and metrics frameworks
• Statistical and Machine Learning modeling experience
• Experience with dbt, Airflow , or similar data pipeline tools is a plus
• Knowledge of credit/risk modeling, pricing, underwriting, or loan origination is highly desirable
• Experience with product instrumentation tools such as Segment, mParticle, or Amplitude is a plus
• Strong communication skills with Product, Engineering, and Business stakeholders
• Experience using AI/LLM tools for analytics and documentation is a plus

• Partner with Product Managers to turn business questions into actionable analysis
• Design, execute, and interpret A/B and quasi-experiments
• Define product metrics, funnels, cohorts, and measurement frameworks
• Build and maintain SQL/dbt data models and pipelines
• Develop statistical and ML models supporting product, credit, pricing, and conversion decisions
• Work with Engineering on event tracking and instrumentation
• Monitor product and experiment performance and identify anomalies and opportunities
• Communicate findings and recommendations to technical and executive stakeholders
• Support product roadmap and planning through data-driven insights

Bachelor's degree or higher in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Data Science, Finance , or equivalent experience.

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