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Data Science Product Manager Jobs (NOW HIRING)

In this role as a Principal Product Manager, Data Science, you will: * Collaborate with product leadership to identity, elaborate and prioritize projects. * Partner with business-product managers to ...

Senior Product Manager

Miami, FL

$121K - $159K/yr

Work closely with Engineering and Data Science partners to ensure relevance improvements and AI ... of product management experience in SaaS or technology platforms involving search, AI-powered ...

Senior Product Manager

Charlotte, NC

$123K - $163K/yr

Work closely with Engineering and Data Science partners to ensure relevance improvements and AI ... of product management experience in SaaS or technology platforms involving search, AI-powered ...

Our models run in production. Our experiments drive real decisions. And the team's work directly shapes how customers experience Fixify. As a Data Science Manager, you'll own both the development of ...

Senior Product Manager

Atlanta, GA

$121K - $160K/yr

Work closely with Engineering and Data Science partners to ensure relevance improvements and AI ... of product management experience in SaaS or technology platforms involving search, AI-powered ...

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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 Jun 8, 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.
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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:
Infographic showing various Data Science Product Manager job openings in the United States as of May 2026, with employment types broken down into 62% Full Time, 35% Part Time, and 3% 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.
2026 Launch Program: Associate Data Science Product Manager

2026 Launch Program: Associate Data Science Product Manager

Red Ventures

Charlotte, NC

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Job description

Associate Data Science Product Manager

This role is not open to visa sponsorship or transfer of visa sponsorship including those on H1-B, F-1, OPT, STEM-OPT, or TN visa, nor is it available to work corp-to-corp.

Launch Program Overview:

Skip the "entry-level grunt-work" and start making a real impact on Day 1. The Launch Program is your opportunity to onboard into your full-time role at Red Ventures in a cohort-style environment that provides in-depth training on our beliefs, culture, business model, and leadership. Your first few weeks will be spent alongside a cross-functional cohort of new Red Ventures employees starting their careers across various roles and teams. These individuals will become your built-in support system and community as you navigate the start of your career with us. After your initial onboarding period, you'll join one of our teams, meet your manager and mentor, and find unparalleled opportunities to make a substantial impact and quickly advance your career.

We believe successful Data Science Product Managers have a wide set of experiences and skill sets in the data domain. This hybrid position offers you hands-on opportunities in data science, data analysis, and product management. In your first two years, you'll get repetitions in contributing to product life cycles via product analytics, roadmap support, model building, and influential communication with product leadership.

What You'll Do:

As an Associate Data Science Product Manager, you will play a pivotal role in bridging the gap between complex data science initiatives and impactful product solutions to create value for both our business and our customers.

  • Responsible for identifying opportunities to increase the impact of your product through deep understanding of the problem space, thorough comprehension of the product strategy and technology, and advanced statistical analysis. Effectively communicating recommendations to your product leads to create buy-in and action.
  • Translate your recommendations into clear work streams and features that contribute to the product roadmap. Collaborate with Data Science, Design, and Engineering teams to turn objectives into detailed requirements with assistance from your product lead.
  • Leverage algorithms and programming tools to execute relevant technical workstreams. This includes building items such as:
    • Data pipelines to gather, manipulate, prepare, and visualize large datasets
    • Machine learning models for offline and proof-of-concept use cases
    • Agentic workflows to automate tasks or for reasoning capabilities for specific features in your product
  • End to end ownership of experiments. Assist in deploying features aimed at improving core KPIs. Conduct analyses to assess the impact of the experiments, synthesizing and owning the narrative.
  • Promote adoption and usage of your product and tooling. Interact directly with end-users for training, feedback, and user testing.
  • Stay up-to-date with advancements in machine learning and generative AI to identify innovative ways to solve business challenges.

Who you are:

  • Strong analytical and critical thinking skills. Can connect the dots between the business problem, the approach, the data, and the relevant recommendation.
  • Strong grit and learning mentality when faced with challenging projects, unfamiliar technology, and ambiguous business problems. Takes a proactive approach to overcoming obstacles. 
  • Creative problem solver with an entrepreneurial mindset and a strong business acumen with an interest in solving business and customer problems to create impact.
  • Showcases high EQ - can collaborate effectively in a team environment.

Experiences you've had:

  • Graduating with a bachelor's or master's degree in Summer 2026, with academic and/or practical experience in fields such as computer science, data science, statistics, or product management. (Start date in our August 2026 cohort)
  • Demonstrated ability to collect, mine, and manipulate large data from disparate data sources, with an ability to dig deep and understand the process (e.g., SQL, Pandas, Tableau). 
  • Hands-on application of machine learning and/or generative AI to a relevant problem through statistical programming languages or large language models (e.g., Python, R, GPT). Thorough knowledge in statistics and machine learning techniques.
  • Demonstrated ability to root cause problems through a data-driven approach, synthesizing takeaways and effectively communicating recommendations to relevant audiences.
  • Exposure to and/or interest in technical development of software components and production models to learn how to form opinions on level of effort and feasibility.

Compensation: 

This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications.

  • Total Cash Compensation: $100,000 per year

Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.

  • Health Insurance Coverage (medical, dental, and vision)
  • Life Insurance
  • Short and Long-Term Disability Insurance
  • Flexible Spending Accounts
  • Holiday Pay401(k) with match
  • Employee Assistance Program
  • Paid Parental Bonding Benefit Program
  • Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential.  That's why we offer a generous and flexible PTO policy.  Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service.

Who We Are:

Red Ventures is a global portfolio of high-growth companies - spanning several U.S. businesses, a joint venture in the health services industry, and strategic investments in Europe and Puerto Rico. Their businesses include The Points Guy, Lonely Planet, Bankrate, the Allconnect Platform, RV Home Client Growth, RV Growth & Transformation, Sage Home Loans Corporation, RV Education and more. Across the portfolio, Red Ventures businesses deliver seamless digital experiences for consumers, help Fortune 100 clients solve large-scale digital growth challenges, and create world-class experiences and opportunities for employees. Learn more at redventures.com and follow @RedVentures on LinkedIn and Instagram.

At Red Ventures, we believe diverse, inclusive teams are better. To help you better understand our core values and beliefs, we encourage you to watch this brief YouTube video: Our Belief Statements. This will give you insight into the principles that guide our work and our commitment to fostering an inclusive environment.

 We offer competitive salaries and a comprehensive benefits program for full-time employees, including medical, dental and vision coverage, paid time off, life insurance, disability coverage, employee assistance program, 401(k) plan and a paid parental leave program.

Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. 

We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. 

If you are based in California, we encourage you to read this important information for California residents linked here.

At Red Ventures, we believe in real human connection. That's why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like "redventurescareer.com." We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com- if you receive a message that seems suspicious, please use redventures.com to verify the opportunity.

For more, the U.S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you've been targeted, feel free to report it to your local authorities. Stay safe out there!

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