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Product Data Scientist

Advent Global Solutions, Inc.

Hybrid in San Francisco, California • 25d ago

Easy Apply

Contract

90 - 100

Data Scientist / Data Analyst (Product & Customer Analytics, Experimentation, GenAI) - W2 92/hr

Projas Technologies, LLC

Hybrid in Oakland, California • Today

Easy Apply

Contract

$90 - $92

Product Data Scientist / Data Operations Analyst - W2 80-88/hr

Projas Technologies, LLC

Remote • Today

Easy Apply

Contract

$80 - $88

Lead Data Scientist / Product Analyst | W2 Preferred

PDDN Inc

Alameda, California • Today

Easy Apply

Full-time, Part-time, Third Party, Contract

Data Scientist, Principal - AI Product Engineering

BlueShield Of California

Oakland, California • Today

Full-time

USD 161,300.00 - 241,900.00 per year

Senior Data Scientist, Product

Robinhood

Menlo Park, California • 2d ago

Full-time

USD 179,000.00 - 210,000.00 per year

Data Scientist II, Product - Moloco Commerce Media

Moloco

Menlo Park, California • Today

Full-time

USD 148,000.00 - 180,000.00 per year

Principal Data Scientist

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Data Scientist

Clay Labs

San Francisco, California • Today

Full-time

USD 170,000.00 - 300,000.00 per year

Senior Data Scientist, Product

Robinhood

Menlo Park, California • Today

Full-time

USD 179,000.00 - 210,000.00 per year

Principal Data Scientist

CVS Health

Remote or Chicago, Illinois • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Data Scientist

Empower Pharmacy

Remote • Today

Full-time

Principal Data Scientist

Upstart

Remote • Today

Full-time

USD 195,300.00 - 270,400.00 per year

Data Scientist

McKesson Corporation

Remote • Today

Full-time

USD 91,800.00 - 153,000.00 per year

Data Scientist

Oteemo Inc

Remote • Today

Full-time

Principal Data Scientist - Consumer

Gopuff

Remote • Today

Full-time

USD 180,000.00 - 240,000.00 per year

Data Scientist

Premier, Inc.

Remote • Today

Full-time

USD 72,000.00 - 120,000.00 per year

Data Scientist

Figma

San Francisco, California • Today

Full-time

USD 140,000.00 - 348,000.00 per year

Lead Data Scientist, Product

Descript

Remote or San Francisco, California • Today

Full-time

USD 200,000.00 - 250,000.00 per year

Senior Product Data Scientist

MaintainX

San Francisco, California • Today

Full-time

USD 137,000.00 - 200,860.00 per year

Data Scientist

Doximity

Remote or San Francisco, California • Today

Full-time

USD 110,000.00 - 150,000.00 per year

Senior Manager, Product Data Science

Snowflake Inc.

Menlo Park, California • Today

Full-time

USD 227,000.00 - 326,600.00 per year

Data Scientist

The Voleon Group

Remote or Berkeley, California • Today

Full-time

USD 150,000.00 - 190,000.00 per year

Job Details

Skills

LLM
Agentic
Python
Product
Embedded
A/B Testing
Artificial Intelligence
Data Science
Product Management
Pricing Strategy

Summary

Product Data Scientist, Home Improvement

About The Role

This role sits at the intersection of product analytics, experimentation, and data science — embedded directly with Product Management to help shape and grow our Home Improvement lending product. You’ll be the analytical backbone for a product team making high-stakes decisions about underwriting funnels, borrower experience, and growth, translating messy data into clear evidence and, where it counts, into models and instrumentation that ship. It’s a high-impact role for someone who is equally comfortable running a rigorous A/B test, writing a dbt model, and explaining a lift curve to a VP.

What You’ll Do

Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource — turning open-ended product questions into structured analyses and clear recommendations
Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel — from offer presentment through origination — with rigor around power, sample ratio mismatch, novelty effects, and interaction risk across concurrent tests
Define and own the metrics framework for the Home Improvement product line: north-star and guardrail metrics, funnel and cohort definitions, and the instrumentation needed to measure them reliably
Work with engineering to ensure event tracking and logging are complete, accurate, and well-documented at the point of instrumentation, not discovered as gaps after the fact
Build and maintain data pipelines and models (e.g., SQL/dbt transformations, feature pipelines) well enough to be self-sufficient for most analyses and to collaborate credibly with data engineering on the rest
Develop and validate statistical and ML models supporting product decisions — response/propensity models, funnel drop-off and conversion models, segmentation, and early-stage risk or pricing signals in partnership with credit strategy — with attention to fairness, explainability, and regulatory context appropriate to a lending business
Bring AI fluency to the work: use LLM- and agentic-tooling to accelerate exploratory analysis, requirements gathering, and documentation, while knowing where automated outputs need human judgment and validation before they inform a decision
Communicate findings in a way that drives action — clear write-ups, well-chosen visualizations, and recommendations tied to specific product or roadmap decisions, not just descriptive dashboards
Contribute to PI planning and roadmap discussions by sizing opportunities, flagging measurement risk in proposed initiatives, and helping the team commit to work that can actually be evaluated
Continuously monitor product and experiment performance post-launch, and proactively surface anomalies, regressions, or new opportunities rather than waiting to be asked

About You

5+ years of experience in a hybrid analytics/data science role (e.g., analytics consulting, product data science, applied statistics) with a track record of directly informing product decisions; bachelor’s degree or higher in a quantitative field, or equivalent combination of education and experience
You have strong grounding in statistics and experimentation — hypothesis testing, causal inference, experiment design, and you can explain the difference between a significant result and a meaningful one
You’re fluent in SQL and at least one scripting/statistical language (Python or R), and you’re comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
You can develop, validate, and communicate the tradeoffs of statistical and machine learning models, and you know when a simpler model or a well-designed experiment beats a complex one
You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know when their outputs need scrutiny before they touch a product decision
You think like a consultant: you get to the real question behind the question, structure ambiguous problems, and land on recommendations stakeholders can act on
You have good judgment about rigor versus speed, and you don’t cut corners on measurement integrity just to hit a deadline
You’re a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholders
You’re curious about how data, experimentation, and AI can change what’s possible in consumer lending products, and you’re always looking for a better way to answer the question

Nice to Have

Background in fintech, consumer lending, or home improvement/contractor financing
Experience with CDP platforms, event instrumentation tooling (e.g., Segment, mParticle, Amplitude), or experimentation platforms
Hands-on experience with credit or risk modeling, pricing strategy, or marketing decisioning
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: agsinc
Position Id: 9082823
Posted 30+ days ago

Fitment

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Contact the job poster

Abhishek Vishwanath

Client Engagement Manager with Advent Global Solutions, Pvt Ltd. @ Advent Global Solutions, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Hybrid in Oakland, California

•

Today

<>Job DescriptionWe are seeking a Data Scientist with strong analytics, experimentation, and business intelligence expertise to help drive data-driven decision making across customer onboarding, engagement, and retention initiatives. This role will partner closely with Product, Engineering, Marketing, and Design teams to generate actionable insights, execute experiments, and support AI-driven analytics initiatives within a fast-paced fintech environment. <>Key ResponsibilitiesAnalyze customer be

Easy Apply

Contract

$90 - $92

Sr. Data Science & Analytics Lead

Hybrid in Alameda, California

•

4d ago

We're looking for a senior level Sr. Data Science & Analytics Lead consultant for one of our healthcare clients based in Almeda, CA (Hybrid). Sr. Data Science & Analytics Lead Alameda, CA (Hybrid) Long-Term Contract Opportunity JobDescription: The role would lead our Data Science & Analytics function and is based in Alameda, with an in-office expectation of four days per week. I've included a job description below that outlines the scope and responsibilities. About Product: Personalized healthca

Easy Apply

Contract

Depends on Experience

Data Scientist, Seller Merchant

San Francisco, California

•

Today

Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops. As a remote co-locat

Full-time

USD 194,000.00 - 215,000.00 per year

Software Engineer II, Data Analytics & Engineering

Remote or San Francisco, California

•

Today

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility

Full-time

USD 123,696.00 - 254,667.00 per year

Job Details

Skills

LLM
Agentic
Python
Product
Embedded
A/B Testing
Artificial Intelligence
Data Science
Product Management
Pricing Strategy

Summary

Product Data Scientist, Home Improvement

About The Role

This role sits at the intersection of product analytics, experimentation, and data science — embedded directly with Product Management to help shape and grow our Home Improvement lending product. You’ll be the analytical backbone for a product team making high-stakes decisions about underwriting funnels, borrower experience, and growth, translating messy data into clear evidence and, where it counts, into models and instrumentation that ship. It’s a high-impact role for someone who is equally comfortable running a rigorous A/B test, writing a dbt model, and explaining a lift curve to a VP.

What You’ll Do

Partner day-to-day with Home Improvement Product Managers as their embedded data science and analytics resource — turning open-ended product questions into structured analyses and clear recommendations
Design, run, and interpret experiments (A/B and quasi-experimental) across the borrower funnel — from offer presentment through origination — with rigor around power, sample ratio mismatch, novelty effects, and interaction risk across concurrent tests
Define and own the metrics framework for the Home Improvement product line: north-star and guardrail metrics, funnel and cohort definitions, and the instrumentation needed to measure them reliably
Work with engineering to ensure event tracking and logging are complete, accurate, and well-documented at the point of instrumentation, not discovered as gaps after the fact
Build and maintain data pipelines and models (e.g., SQL/dbt transformations, feature pipelines) well enough to be self-sufficient for most analyses and to collaborate credibly with data engineering on the rest
Develop and validate statistical and ML models supporting product decisions — response/propensity models, funnel drop-off and conversion models, segmentation, and early-stage risk or pricing signals in partnership with credit strategy — with attention to fairness, explainability, and regulatory context appropriate to a lending business
Bring AI fluency to the work: use LLM- and agentic-tooling to accelerate exploratory analysis, requirements gathering, and documentation, while knowing where automated outputs need human judgment and validation before they inform a decision
Communicate findings in a way that drives action — clear write-ups, well-chosen visualizations, and recommendations tied to specific product or roadmap decisions, not just descriptive dashboards
Contribute to PI planning and roadmap discussions by sizing opportunities, flagging measurement risk in proposed initiatives, and helping the team commit to work that can actually be evaluated
Continuously monitor product and experiment performance post-launch, and proactively surface anomalies, regressions, or new opportunities rather than waiting to be asked

About You

5+ years of experience in a hybrid analytics/data science role (e.g., analytics consulting, product data science, applied statistics) with a track record of directly informing product decisions; bachelor’s degree or higher in a quantitative field, or equivalent combination of education and experience
You have strong grounding in statistics and experimentation — hypothesis testing, causal inference, experiment design, and you can explain the difference between a significant result and a meaningful one
You’re fluent in SQL and at least one scripting/statistical language (Python or R), and you’re comfortable enough with data engineering fundamentals (pipelines, transformations, data modeling) to build what you need and partner effectively with engineers on the rest
You can develop, validate, and communicate the tradeoffs of statistical and machine learning models, and you know when a simpler model or a well-designed experiment beats a complex one
You use AI tools in your day-to-day work — for exploratory analysis, documentation, and accelerating routine analytics — and you know when their outputs need scrutiny before they touch a product decision
You think like a consultant: you get to the real question behind the question, structure ambiguous problems, and land on recommendations stakeholders can act on
You have good judgment about rigor versus speed, and you don’t cut corners on measurement integrity just to hit a deadline
You’re a clear communicator who can flex between a technical conversation with engineering and a decision-focused conversation with product and business stakeholders
You’re curious about how data, experimentation, and AI can change what’s possible in consumer lending products, and you’re always looking for a better way to answer the question

Nice to Have

Background in fintech, consumer lending, or home improvement/contractor financing
Experience with CDP platforms, event instrumentation tooling (e.g., Segment, mParticle, Amplitude), or experimentation platforms
Hands-on experience with credit or risk modeling, pricing strategy, or marketing decisioning
Experience with dbt, Airflow, or similar data pipeline/orchestration tools
Prior experience embedded directly with product teams in an agile/scrum environment

Dice Id: agsinc
Position Id: 9082823
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Abhishek Vishwanath

Client Engagement Manager with Advent Global Solutions, Pvt Ltd. @ Advent Global Solutions, Inc.

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Hybrid in Oakland, California

•

Today

Easy Apply

Contract

$90 - $92

Sr. Data Science & Analytics Lead

Hybrid in Alameda, California

•

4d ago

Easy Apply

Contract

Depends on Experience

Data Scientist, Seller Merchant

San Francisco, California

•

Today

Full-time

USD 194,000.00 - 215,000.00 per year

Software Engineer II, Data Analytics & Engineering

Remote or San Francisco, California

•

Today

Full-time

USD 123,696.00 - 254,667.00 per year

Product Data Scientist

Skills

Summary

Dice Job Match Score™

Abhishek Vishwanath

Similar Jobs

Product Data Scientist

Job Details

Skills

Summary

Dice Job Match Score™

Abhishek Vishwanath

Similar Jobs