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Intern Product Data Scientist Jobs (NOW HIRING)

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 ...

New

NY ยท On-site

As a Product Data Scientist, you'll be the analytical backbone of one or more product pods. You'll own measurement and reporting, support experimentation, and surface the insights that drive product ...

Product Data Scientist

Wilmington, DE ยท On-site

$85K - $100K/yr

We are seeking a Product Data Scientist who can identify business problems, translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present ...

We are seeking a Product Data Scientist who can identify business problems, translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present ...

Product Data Scientist

Wilmington, DE ยท On-site

$85K - $100K/yr

We are seeking a Product Data Scientist who can identify business problems, translate insights into actionable recommendations, develop AI/ML stack solutions, drive test/learn plans, present ...

Work with Product, Engineering, and GTM to establish data-driven product decision-making at Baseten, an AI inference platform Requirements * 5+ years of experience in product data science, product ...

Zof AI is seeking a Product Data Scientist to measure how well our agent fleets actually find and fix defects. This role owns the numbers behind the product: detection precision and recall ...

Zof AI is seeking a Product Data Scientist to measure how well our agent fleets actually find and fix defects. This role owns the numbers behind the product: detection precision and recall ...

NY ยท On-site

About the Role As a Principal Product Data Scientist, you will operate as the most senior technical leader in the Product Data Science function. You will shape the vision, set the technical direction ...

We're looking for a Product Data Scientist to support both our Beverage and Software product teams - measuring the incremental impact of every new flavor we launch, and building the recommendation ...

Your Role We're hiring a Senior Data Scientist to own measurement across the surfaces that move our ... Get deep into Ascend's products, data infrastructure, and the metric definitions the three teams ...

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Intern Product Data Scientist information

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$46K

$165K

$243.5K

How much do intern product data scientist jobs pay per year?

As of Sep 15, 2026, the average yearly pay for intern product data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Intern Product Data Scientist vs Intern Data Analyst?

AspectIntern Product Data ScientistIntern Data Analyst
Required SkillsData analysis, machine learning basics, product understandingData analysis, Excel, SQL, reporting
Work EnvironmentProduct teams, cross-functional projectsBusiness units, reporting teams
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, retail sectors

Intern Product Data Scientists focus on applying data science techniques to improve products, working closely with product teams. Intern Data Analysts primarily handle data reporting and visualization for business insights. While both roles require analytical skills, the Product Data Scientist role emphasizes machine learning and product impact, whereas the Data Analyst role centers on data reporting and basic analysis.

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The most popular types of Product Data Scientist jobs are:

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Infographic showing various Intern Product Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

PRODUCT DATA SCIENTIST

San Francisco, CA โ€ข On-site

IT FACE Inc.
1 - 10 employees

Other

Posted 3 days ago

New


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