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Intern Product Data Scientist Jobs (NOW HIRING)

Harvey

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

Role Overview As a Product Data Scientist, you will be a core member of Harvey's product development organization and one of the foundational members of the Data Science function. You will partner ...

Block

Staff Product Data Scientist, Lending

Seattle, WA · On-site +1

The Role The Data Science team at Block turns unique customer and product data into decisions that expand access to financial services. Our Lending team powers decisioning behind Cash App Borrow ...

Unchain Data

Data Scientist, Product

Manhattan, NY · On-site

$179 - $210/hr

As a Senior Data Scientist on the Data Science team, you'll be part of a high-impact, multi-functional group working closely with partners across product, engineering, user research, design ...

New

AlphaSense

Sr. Product Data Scientist

New York, NY · On-site +1

AlphaSense is seeking a highly analytical, entrepreneurial Sr. Product Data Scientist to serve as the analytical engine for our Product Management team and own our most important product analytics ...

Unchain Data

Data Scientist (Product)

Manhattan, NY · On-site

$100 - $250/hr

At Kalshi, Data Scientists sit at the center of the company and are embedded across Product, Finance, Marketing, Platform, and more. You'll combine analytical depth, technical skill, and business ...

New

Find Data Science

Data Scientist

San Francisco, CA

As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative ...

New

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All JobsIntern Product Data Scientist Jobs

Intern Product Data Scientist information

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

As of Aug 7, 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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What cities are hiring for Intern Product Data Scientist jobs? Cities with the most Intern Product Data Scientist job openings:
What are the most commonly searched types of Product Data Scientist jobs? The most popular types of Product Data Scientist jobs are:
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Intern Product Data Scientist jobs near you
Infographic showing various Intern Product Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Staff Product Data Scientist, Infrastructure

Waymo

San Diego, CA • Hybrid

Full-time

Re-posted 8 days ago

Job description

Waymo's Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company - from driving quality and operational efficiency to market analysis and rider satisfaction scores - we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information.

This role follows a hybrid work schedule and you will report to the Director of Product Data Science.

You will:

In order to expand our service to larger territories and to multiple cities, we need quantitative frameworks to acquire the right type of infrastructure (chargers, parking lots, depots) in the right places at the lowest cost, and optimize the efficiency of existing infrastructure. This role is responsible for:

  • Building and maintaining data science models to help make data driven infrastructure decisions
  • Design and implement quantitative measurement frameworks to assess the efficiency of our infra footprint and identify areas for improvement
  • Collaborate with XFN partners on Supply Operations to ensure we consider the relevant business and product context alongside the model output to make the best decisions for Waymo

You have:

  • Solid background and applied work experience in operations research, optimization, or supply chain

  • Master's degree in a highly quantitative field (e.g., Operations Research, Optimization, Supply Chain, or a related discipline)

We prefer:

  • Ph.D. in Operations Research, Optimization, Supply Chain, or a related quantitative field

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