PRODUCT DATA SCIENTIST

PRODUCT DATA SCIENTIST HOME IMPROVEMENT LENDING Location: San Francisco, CA Work Model: Hybrid 3 Days Onsite / 2 Days WFH Contract: Long-Term Contract Time Zone: Pacific Time (PT)POSITION OVERVIEW We are looking for an experienced Product Data Scientist with strong Banking, FinTech, or Consumer Lending experience to work closely with Product Management and Engineering teams.KEY RESPONSIBILITIESPartner with Product Managers to translate business questions into actionable insightsDesign, execute, and interpret A/B tests and quasi-experimentsDevelop product metrics, funnel definitions, cohort frameworks, and analytical methodologiesCollaborate with Engineering teams on event tracking, instrumentation, and data qualityBuild SQL and dbt models and support data pipelines for product analyticsDevelop, validate, and monitor statistical and machine learning modelsPerform propensity, conversion, segmentation, risk, and pricing analyticsMonitor product and experiment performance and identify business opportunitiesPresent analytical findings, insights, and recommendations to Product teams and senior stakeholdersLeverage AI and LLM tools for exploratory analysis and documentation with appropriate validationREQUIRED SKILLS AND EXPERIENCE5+ years of experience in Data Science, Product Analytics, Applied Statistics, or a related fieldStrong Banking, FinTech, Consumer Lending, or Financial Services experienceAdvanced SQL skillsStrong Python or R programming experienceStrong understanding of A/B testing, experimentation, and causal inferenceExperience developing and applying statistical and machine learning modelsExperience with product funnels, cohorts, metrics, and product analyticsExperience with dbt, data pipelines, or data modelingStrong communication and stakeholder management skillsExperience partnering closely with Product Management and Engineering teamsNICE TO HAVEHome improvement lending or contractor financing experienceCredit, risk, or pricing modeling experienceExperience with Segment, mParticle, Amplitude, or similar product analytics platformsAirflow or other data orchestration toolsAgile/Scrum experienceGenerative AI or LLM experience#J-18808-Ljbffr