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Data Science Product Manager Jobs (NOW HIRING)

Polaris, Inc.

Product Manager (Data Science)

Medina, MN · On-site

$140K - $160K/yr

You will serve as a Product Manager for Data Science, advancing enterprise Data & Analytics capabilities by delivering scalable, high-quality data products. Positioned within a centralized IT ...

PROPRIUS

Director Data Science

San Francisco, CA · On-site

This is your chance to build a department, define a strategy, and implement a road-map to create and build data science products. The department will be part of a new innovation center, essentially a ...

Enformion

Product Manager

Sacramento, CA · On-site +1

$120K - $135K/yr

We deliver next-generation fraud prevention, risk management, and seamless onboarding solutions ... Direct experience in data science, product, or engineering. * Python proficiency. Key ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$251K - $376K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our ... Product Data Quality & Infrastructure: Drive the "Product Data Quality" initiative for your domains.

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Data Science Product Manager information

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$51.5K

$159.4K

$197K

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

As of Aug 12, 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.

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.

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.

Who gets paid more, a data scientist or a data science product manager?

Typically, data science product managers earn higher salaries than data scientists due to their broader responsibilities, including strategic planning, cross-functional coordination, and product ownership. Data science product managers often have strong business acumen and project management skills, which contribute to their higher compensation. However, salary differences can vary based on experience, industry, and location.
More about Data Science Product Manager jobs
What cities are hiring for Data Science Product Manager jobs? Cities with the most Data Science Product Manager job openings:
What states have the most Data Science Product Manager jobs? States with the most job openings for Data Science Product Manager jobs include:
What job categories do people searching Data Science Product Manager jobs look for? The top searched job categories for Data Science Product Manager jobs are:
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 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $159,405 per year, or $76.6 per hour.

Sr Product Manager - Data Science

Health Care Service Corporation

Richardson, TX • On-site

$92K - $167K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 5 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryThis Position Is Responsible For Own One Or More Data Science Products And Will Operate With A Minimal Amount Of Guidance And Supervision. As The Primary Owner Of A Product, They Will Work Closely With Customers To Understand Their Needs And Translate These Needs Into A Data Science Product That Adds Business Value. They Will Be Able To Write Technical Requirements, Understand Importance Of Various Product Features, Prioritize Development, And Coordinate Across All Interested Stakeholders. They Will Promote Usage And Understanding Of The Product Across A Broad Audience. They Are Ultimately Responsible And Accountable For Successful Delivery And Implementation Of The Product. As Needed, They Will Assist With Data Science And Data Engineering Tasks. Data Scientists And Data Engineers Working On A Product Will Have An Indirect Reporting Relationship To The Product Manager.

Required Job Qualifications:
* Bachelors degree and 3 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Master's degree and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Ph.D. in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field"
* Learning and growth mindset.
* Customer-focused.
* Interpersonal, verbal and written communication skills.
* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 5) distributed computing; 6) understanding of healthcare.
* Independently delivering or leading the delivery of a complex analytics or data science project or product
Preferred Job Qualifications:
* Masters degree in a computational field, or Bachelors degree with significant healthcare experience
* SQL and Hive

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$92,700.00 - $167,500.00

Exact compensation may vary based on skills, experience, and location.

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