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Data Science Product Manager Jobs in California (NOW HIRING)

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 ...

Senior Technical Product Manager, Data Science

Los Angeles, CA

$136K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to ...

Senior Technical Product Manager, Data Science

Los Angeles, CA ยท On-site

$136K - $179K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Senior Product Manager, Data Science to drive the vision, strategy, and execution of our data science strategies and products, partnering with game studios and analytics teams to ...

Product Manager

Sacramento, CA ยท 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 ...

Data Engineer

San Francisco, CA ยท Remote

$180K - $200K/yr

Partner closely with data science, product manager, and engineering teams to translate business questions into well modeled, performant, and discoverable data assets * Establish and enforce data ...

Senior Product Manager

San Diego, CA ยท On-site

$140 - $190/hr

Our products help clinical scientists, medical writers, clinical operationsteams, and data managers make better decisions faster while maintaining transparency,trust, and regulatory compliance.Faro ...

Senior Product Manager

San Diego, CA ยท On-site

$152 - $179/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Jose, CA ยท On-site

$148K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Diego, CA ยท On-site

$134K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Jose, CA ยท On-site

$152 - $179/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Diego, CA ยท On-site +1

$134K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

Senior Product Manager

San Diego, CA

$134K - $177K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our products help clinical scientists, medical writers, clinical operations teams, and data managers make better decisions faster while maintaining transparency, trust, and regulatory compliance.

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Showing results 1-20

Data Science Product Manager information

See California salary details

$50.8K

$157.3K

$194.4K

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

As of Aug 17, 2026, the average yearly pay for data science product manager in California is $157,317.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,200.00 and $194,400.00 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.

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.

What are popular job titles related to Data Science Product Manager jobs in California?

For Data Science Product Manager jobs in California, the most frequently searched job titles are:

What cities in California are hiring for Data Science Product Manager jobs?

Cities in California with the most Data Science Product Manager job openings:

Infographic showing various Data Science Product Manager job openings in California as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Temporary, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Data Science/Product Analyst

Hired Recruiters

San Francisco, CA โ€ข On-site, Remote

Full-time

Re-posted 10 days ago


Job description

Data is core to how ClassDojo makes decisions. As our next senior data scientist, you'll help build the world's leading consumer education business, one that is already reaching tens of millions of parents, teachers, and children. You'll help grow ClassDojo to our next major milestone: serving 100 million+ active families, and 100 million+ in revenue, while deepening love for our brand.
The data science function at ClassDojo is an equal partner to product, engineering and design. As a senior leader on a high-performing, cross-functional team, you'll shape the team's strategic direction. You'll tackle a broad range of product and business problems: uncovering unique user insights, identifying the right growth strategies in each of the 180+ countries we operate in, identifying and testing critical product improvements, and driving revenue results. You'll also work with co-workers across the company to develop insights that inform strategy and decision-making across our entire business.
You can expect talented, motivated, intense and interesting co-workers; the work you'll do will pioneer the future of education.
  • Drive orders of magnitude of growth in ClassDojo's network and revenue growth
  • Design and analyze product experiments and improvements, working with cross-functional teams to translate insights into action
  • Define product strategy and direction, in collaboration with cross-functional peers
  • Empower teams with the skills and tools to get their own insights

You might be a good fit if:
  • You have 5+ years experience in a data science or analytics role at a consumer company, ideally with a stint on a high quality growth team
  • You have good business judgment
  • You have the ability to write structured and efficient SQL queries on large data sets
  • You have experience designing AB/multivariate tests and drawing actionable conclusions
  • You possess strong written and verbal communication skills
  • You have intellectual curiosity
  • You have an inclination to move surprisingly fast

Bonus:
  • Experience with data pipelines: transforming raw production and external data into user-friendly tables.