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Data Science Product Manager Jobs in California (NOW HIRING)

Sr. Product Manager

Foster City, CA · On-site

$147K - $194K/yr

The Sr. Product Manager, Visa Protect for Banks will drive product strategy, roadmap, and key ... Align product, data science, engineering, pricing, legal, and client-services teams to deliver ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

Sr. Product Manager

Foster City, CA · On-site

$147K - $194K/yr

The Sr. Product Manager, Visa Protect for Banks will drive product strategy, roadmap, and key ... Align product, data science, engineering, pricing, legal, and client-services teams to deliver ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Deliverables are production ready prototypes for innovative product solutions enabling AI-assisted ... in Data Science or Natural Language Processing • 2+ years of experience in managing technical ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative ...

The data science team is very much applied - their work directly makes its way into real products ... Internally, you will be expected to meet with product managers, executives and estaff, and be able ...

You'll partner closely with engineering, design, data science, product marketing, and our demand sales and account management teams. You'll also mentor other product managers across the demand ...

What you have: * 2+ years of Data Science management with a team of >3 * 5+ years of modeling/data science experience overall * 2+ years of experience at a consumer product company * Deep technical ...

Showing results 41-60

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 Sep 3, 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.

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

The top searched job categories for Data Science Product Manager jobs in California 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 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $157,317 per year, or $75.6 per hour.

Senior Data Scientist

Dawar Consulting

South San Francisco, CA • On-site

$140 - $190/hr

Other

Medical, Retirement

Posted 4 days ago


Job description

Senior Data Scientist

South San Francisco, United States | Posted on 08/26/2026

Our client, a world leader in biotechnology and life sciences, is looking for a “Senior Data Scientist”.

Job Duration: Long-Term Contract (Possibility Of Extension)

Company Benefits: Medical, Paid Sick Leave, 401 (k)

Seeking aSenior Data Scientistto develop, deploy, and industrialize machine learning solutions using structured and unstructured data across Commercial and Medical domains. This role will partner with business and technical teams to translate complex challenges into impactful, data-driven solutions while ensuring strong data quality, governance, model validation, and regulatory compliance.

Required Skills & Qualifications
  • Bachelor's degree inStatistics, Mathematics, Computer Science, or a related quantitative field.
  • 5+ years of experiencein Data Science or related roles.
  • Strong proficiency inPython and/or R.
  • StrongSQLskills.
  • Expertise inMachine Learning and Deep Learningtechniques, including classification, regression, and forecasting.
  • Experience developingend-to-end ML solutions, from concept and prototyping through production deployment and monitoring.
  • Experience with cloud platforms such asAWS or GCP.
  • Strong understanding ofMLOps, including CI/CD, model versioning, performance monitoring, scalability, and reliability.
  • Experience collaborating withData Science Product Owners, Data Leads, ML Engineers, and MLOps teams.
  • Commitment todata ethics, governance, model validation, and regulatory compliance.
Preferred Skills
  • Healthcare or pharmaceutical industry experience.
  • Experience withTensorFlow or PyTorch.
  • Hadoop, Spark, or other big-data platforms.
  • Predictive modeling, text classification, clustering, ROI analysis, and insight generation.
  • Data visualization tools such asTableau, Qlik, or Data Studio.
  • Publications, open-source contributions, or relevantData Science/ML/AI certifications.
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