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PRODUCT DATA SCIENTIST

IT FACE Inc.San Francisco, CA🇺🇸United StatesPosted 12 Sept 2026

Why This Role Stands Out

This Product Data Scientist role offers a fantastic opportunity to leverage your expertise in banking and FinTech to drive impactful product decisions within a reputable company, with the flexibility of a hybrid work model. You'll thrive here if you are a strategic thinker adept at translating complex data into actionable insights, and you're encouraged to apply to shape the future of home improvement lending.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Francisco, CA, United States
Posted
21 hours ago
SQLMachine LearningScrumAgileAirflowGenerative AILLMPythonRStakeholder Managementdbt

Job Description

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 RESPONSIBILITIES

  • Partner with Product Managers to translate business questions into actionable insights
  • Design, execute, and interpret A/B tests and quasi-experiments
  • Develop product metrics, funnel definitions, cohort frameworks, and analytical methodologies
  • Collaborate with Engineering teams on event tracking, instrumentation, and data quality
  • Build SQL and dbt models and support data pipelines for product analytics
  • Develop, validate, and monitor statistical and machine learning models
  • Perform propensity, conversion, segmentation, risk, and pricing analytics
  • Monitor product and experiment performance and identify business opportunities
  • Present analytical findings, insights, and recommendations to Product teams and senior stakeholders
  • Leverage AI and LLM tools for exploratory analysis and documentation with appropriate validation

REQUIRED SKILLS AND EXPERIENCE

  • 5+ years of experience in Data Science, Product Analytics, Applied Statistics, or a related field
  • Strong Banking, FinTech, Consumer Lending, or Financial Services experience
  • Advanced SQL skills
  • Strong Python or R programming experience
  • Strong understanding of A/B testing, experimentation, and causal inference
  • Experience developing and applying statistical and machine learning models
  • Experience with product funnels, cohorts, metrics, and product analytics
  • Experience with dbt, data pipelines, or data modeling
  • Strong communication and stakeholder management skills
  • Experience partnering closely with Product Management and Engineering teams

NICE TO HAVE

  • Home improvement lending or contractor financing experience
  • Credit, risk, or pricing modeling experience
  • Experience with Segment, mParticle, Amplitude, or similar product analytics platforms
  • Airflow or other data orchestration tools
  • Agile/Scrum experience
  • Generative AI or LLM experience

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