PRODUCT DATA SCIENTIST

IT FACE Inc.; San Francisco (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

HOME IMPROVEMENT LENDING is seeking a Product Data Scientist to join our hybrid team in San Francisco, bridging Product Management and Engineering to drive data-driven decisions.

You will lead analytics for product funnels, run A/B tests, and build ML models in a Banking/FinTech lending context, collaborating with cross-functional partners and stakeholders.

Qualifications

• 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.

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

Skills

SQL

Python or R

A/B testing

Product analytics

Data modeling

dbt

Pipelines

Communication

Stakeholder management

Collaboration with PM/Eng

Tools

dbt

dbt models

Data pipelines

Airflow

Amplitudes/Segment/mParticle

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