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Data Science Product Manager Jobs (NOW HIRING)

Harvey

Data Scientist, Product

San Francisco, CA · On-site

$155K - $260K/yr

What You Have * 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research ...

NextDeavor Inc.

Data Product Manager

San Jose, CA · Hybrid

$54.65 - $68.31/hr

Data Product Manager Full-time San Jose, CA You'll be joining Adobe on a contract opportunity ... You will work cross-functionally with data engineering, data science, and analytics teams to ...

Mayo Clinic

Technical Product Manager

Rochester, MN · On-site

$169K - $196K/yr

Ensures alignment between Engineering, Data Science, Product, Business and Platform priorities in ... Proactively manages and monitors product and operational risks (regulatory, security, operational ...

Lucid Software

Product Manager, AI

Raleigh, NC · On-site

We are looking for a Product Manager to help us take our products to the next level by leveraging ... Proven ability to build strong partnerships across Engineering, Design, Data Science, Product, and ...

MediaAlpha

Staff Product Manager

Los Angeles, CA · On-site

MediaAlpha is a customer acquisition solutions provider powered by technology and data science. The ... You'll also mentor other product managers across the demand organization, raising the bar for ...

General Motors

Data Scientist

Austin, TX · On-site

Deliver results on time while managing risks and maintaining methodological and operational quality ... Experience contributing to AI, machine learning, or data science products from concept through ...

Boston Scientific

Data Product Manager

Maple Grove, MN · On-site

Boston Scientific was recognized as a Glassdoor Best Place to Work in 2026, ranking No. 15 on the ... The Data Product Manager will define and lead the vision, strategy, and roadmap for enterprise data ...

Athenago

Data Science Intern

Wilmington, DE

Collaborate closely with data science, product, and engineering teams to integrate models into production systems. * Present findings through clear reports, visualizations, or dashboards that inform ...

General Motors

$120 - $190/hr

Deliver results on time while managing risks and maintaining methodological and operational quality ... Experience contributing to AI, machine learning, or data science products from concept through ...

New

General Motors

Data Scientist

Warren, MI · On-site

Deliver results on time while managing risks and maintaining methodological and operational quality ... Experience contributing to AI, machine learning, or data science products from concept through ...

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Data Science Product Manager information

See salary details

$51.5K

$159.4K

$197K

How much do data science product manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data science product manager in the United States is $159,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $197,000.00 per year, depending on experience, location, and employer.

What is a Data Science Product Manager?

A Data Science Product Manager is a professional who bridges the gap between data science teams and business objectives by guiding the development of data-driven products. They work closely with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure successful product delivery. Their role involves understanding both the technical aspects of machine learning and analytics as well as user needs and business strategy. This ensures that data-powered products are effective, user-focused, and aligned with organizational goals.

How does a Data Science Product Manager typically collaborate with data scientists and engineers during a product lifecycle?

A Data Science Product Manager plays a crucial role in bridging the gap between business objectives and technical teams. Throughout the product lifecycle, they work closely with data scientists to define project goals, prioritize features, and translate business needs into actionable data-driven solutions. They also coordinate with engineers to ensure the seamless integration of machine learning models into products, address technical constraints, and facilitate communication between cross-functional teams. This collaborative approach ensures that data science initiatives are both technically feasible and aligned with overall business strategy.

What are the key skills and qualifications needed to thrive as a Data Science Product Manager, and why are they important?

To thrive as a Data Science Product Manager, you need a strong background in product management, data analytics, and a foundational understanding of machine learning, often supported by a degree in a technical or quantitative field. Familiarity with tools like SQL, Python, JIRA, and knowledge of data platforms and agile methodologies is typically required. Excellent communication, strategic thinking, and the ability to bridge technical and non-technical teams are vital soft skills. These competencies ensure successful product development, effective stakeholder alignment, and the delivery of impactful data-driven solutions.

What is the difference between Data Science Product Manager vs Data Analyst?

AspectData Science Product ManagerData Analyst
Required credentialsBackground in data science, product management, or related fields; often requires experience with machine learning and data-driven product developmentTypically holds a degree in statistics, mathematics, or business; skills in data visualization and basic analytics
Work environmentCollaborates with product teams, data scientists, engineers; focuses on developing data products and strategiesWorks with business units to interpret data, generate reports, and support decision-making
Employer and industry usageUsed in tech companies, e-commerce, and organizations developing data-driven productsCommon across finance, marketing, healthcare, and business intelligence roles

The main difference is that Data Science Product Managers oversee the development of data products and strategies, requiring a blend of product management and data science skills. Data Analysts focus on interpreting data and generating insights to support business decisions. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

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What states have the most Data Science Product Manager jobs?

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What job categories do people searching Data Science Product Manager jobs look for?

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Data Science Product Manager jobs near you
Infographic showing various Data Science Product Manager job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Data Scientist, Product

Harvey

San Francisco, CA • On-site

$155K - $260K/yr

Full-time

Re-posted 14 days ago

Job description

Why Harvey
At Harvey, we're transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we're reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We're scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth - personal, professional, and financial - is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission - operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today - and we're just getting started.
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 with Product, Engineering, Design, Go-to-Market, and company leadership to define how we measure product success, understand user behavior, and make high-quality decisions in a fast-moving environment.
This role is both strategic and hands-on. You will define north-star and product-level metrics, design experiments and causal analyses, build source-of-truth reporting, and turn ambiguous product questions into clear recommendations. You should be comfortable operating where the data is imperfect, the product is evolving quickly, and the right answer requires both analytical rigor and strong product judgment.
What You'll Do
  • Embed with Product and Engineering teams as a trusted analytical partner, identifying opportunities to improve user experience, adoption, retention, and business impact.
  • Define and maintain core metrics that create a shared understanding of product performance and customer value.
  • Design and evaluate experiments, including A/B tests and causal inference methods, to measure the impact of product, model, and workflow changes.
  • Analyze product usage, customer segments, and go-to-market signals to surface insights, size opportunities, and inform roadmap decisions.
  • Build dashboards, reports, and self-serve tools that help teams answer product questions with confidence.
  • Develop models, forecasts, and analytical frameworks to explain user behavior, detect anomalies, and guide prioritization.
  • Translate complex analyses into clear recommendations for technical, business, and executive audiences.
  • Partner with Engineering and Data teams to improve the infrastructure that powers analytics, experimentation, and decision-making.
  • Establish the standards, practices, and culture for Product Data Science at Harvey.
What You Have
  • 5+ years of experience in data science, product analytics, economics, statistics, or another quantitative field, ideally in a high-growth product company, AI company, research organization, or similarly ambiguous environment.
  • A strong track record of using SQL, Python, and statistical methods to answer product questions and turn analysis into product or business impact.
  • Experience defining new metrics and measurement frameworks from scratch, especially for products where usage patterns, customer value, or success criteria are still being discovered.
  • Deep fluency in experimentation, causal inference, A/B testing, and statistical modeling, with good judgment about when precision matters and when directional clarity is enough.
  • Strong product instincts and curiosity about how users adopt, evaluate, and expand their use of AI-enabled workflows.
  • Excellent written and verbal communication skills, including the ability to influence Product, Engineering, Go-to-Market, and executive stakeholders through clear reasoning and compelling data stories.
  • Comfort creating structure in fast-moving, ambiguous environments and raising the quality of decision-making for the teams.

Bonus
  • Experience with AI/ML products, large language models, developer tools, enterprise software, or products used in complex professional workflows.
  • Experience as an early data science or analytics hire at a hyper-growth startup, including helping define team norms, tooling, and best practices.
  • Experience supporting enterprise or B2B products, including analysis of adoption, engagement, retention, expansion, or go-to-market motion.
  • Familiarity with modern data infrastructure and the practical tradeoffs involved in building reliable analytics in a rapidly evolving product environment.

Compensation
$155,000 - $260,000
Depending on your location, an Applicant Privacy Notice may apply to you. You can find all of our Applicant Privacy Notices [here].
#LI-SB1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

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