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Intern Product Data Scientist Jobs (NOW HIRING)

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 ...

Data Scientist Location: New York On-site | Full-time Compensation: Competitive Our client is a ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

Data Scientist Location: New York On-site | Full-time Compensation: Competitive Our client is a ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

Data Scientist Location: New York On-site Full-time Compensation: Competitive Our client is a high ... Partner directly with product and engineering teams to implement data-driven solutions and ensure ...

BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics) or equivalent practical experience * 12+ years of experience in product analytics or data science within a SaaS/Cloud ...

BA/BS degree in a quantitative field (e.g., Statistics, Math, CS, Economics) or equivalent practical experience * 12+ years of experience in product analytics or data science within a SaaS/Cloud ...

As a data scientist intern, you will work alongside our small team of data scientists and engineers ... Perform large-scale data analysis, find interesting patterns and translate them into product ...

Integrated within the data science team, the intern data scientist will work on data projects directly related to Ardian's portfolio assets (i.e. industrial companies in various sectors such as ...

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 ...

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 ...

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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 Aug 6, 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.

More about Intern Product Data Scientist jobs
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:
What states have the most Intern Product Data Scientist jobs? States with the most job openings for Intern Product Data Scientist jobs include:
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, Paid Media

Waymo

San Diego, CA • On-site

Other

Posted 29 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.

In this hybrid role, you will report to the Product Data Science Lead, Growth and Experience.

You will:

  • Connect marketing performance to real business outcomes by building ROI methodologies and efficiency guardrails that leadership can act on
  • Own optimization across the full acquisition picture - brand media, performance channels, promotions, and referrals - not just the parts with clean attribution
  • Design and run Waymo's incrementality measurement program, including geo-based holdout tests, switchback experiments, and media mix modeling across every acquisition channel
  • Build Waymo's LTV and CAC framework and use it to guide how marketing spend gets allocated
  • Be the data science partner marketing and product  leans on for measurement and experimentation
  • Lead deep-dive analyses across geos, audiences, creatives, and channels to find the non-obvious growth levers nobody's looked for yet

You have:

  • At least 8 years of industry experience, with a strong focus on growth marketing, including time spent owning measurement strategy, not just executing it
  • A track record of working directly with marketing leadership as a trusted partner
  • Proficiency in SQL and Python or R for data manipulation, statistical modeling, and experiment analysis
  • Hands-on experience designing and analyzing incrementality experiments - geo holdout tests, switchback designs, or intent-to-treat analyses - in a consumer tech, marketplace, or rideshare context
  • Strong causal inference fundamentals - you know how to design studies that produce actionable, credible results

We prefer:

  • Time at a high-growth consumer tech, rideshare, or mobility company
  • Experience with media mix modeling (MMM) or multi-touch attribution (MTA) in addition to geo-based incrementality testing
  • Experience building LTV and CAC frameworks and using them to guide real spend decisions
  • Experience with mobile measurement partners (MMP)
  • Familiarity with paid media platforms and channel dynamics (SEM, paid social, programmatic)