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Data Science Project Manager Jobs in California (NOW HIRING)

Document methodologies and processes to ensure that data science projects are scalable and sustainable. * Assist in the data governance process to ensure data accuracy and integrity. Requirements

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business requirements into actionable data science projects aligned with organizational ... Manage a team of highly technical data and AI professionals to complete project deliverables and ...

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business requirements into actionable data science projects aligned with organizational ... Manage a team of highly technical data and AI professionals to complete project deliverables and ...

New

Data Science Manager

Irvine, CA · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Translate business requirements into actionable data science projects aligned with organizational ... Manage a team of highly technical data and AI professionals to complete project deliverables and ...

Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives ... Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge ...

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Data Science Manager

San Francisco, CA

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

  • Medical

  • Retirement

  • PTO

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ...

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing sessions, and technical discussions. * Learn and apply best practices in data science ...

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Showing results 1-20

Data Science Project Manager information

See California salary details

$16

$56

$79

How much do data science project manager jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data science project manager in California is $56.75, according to ZipRecruiter salary data. Most workers in this role earn between $49.09 and $66.44 per hour, depending on experience, location, and employer.

What is a data science project manager?

A Data Science Project Manager is a professional who oversees and coordinates data science projects from inception to completion. They act as a bridge between technical data science teams and business stakeholders, ensuring that project goals align with organizational objectives. Responsibilities include planning project timelines, managing resources, mitigating risks, and communicating progress. They also help define project requirements, monitor deliverables, and ensure that outcomes meet quality standards. Strong communication, analytical, and organizational skills are essential for this role.

How does a data science project manager typically collaborate with data scientists and stakeholders throughout a project?

A Data Science Project Manager acts as a bridge between technical teams and business stakeholders, ensuring clear communication of goals, timelines, and deliverables. They facilitate regular meetings to discuss project progress, address any obstacles, and realign priorities as needed. By translating business requirements into actionable tasks for data scientists and providing updates to stakeholders, they help ensure that projects stay on track and deliver value. Effective collaboration often involves balancing technical feasibility with business needs, managing expectations, and fostering a cooperative team environment.

What are the key skills and qualifications needed to thrive as a data science project manager, and why are they important?

To thrive as a Data Science Project Manager, you need a solid understanding of data science methodologies, project management principles, and usually a degree in computer science, statistics, or a related field. Familiarity with analytics tools (such as Python, R, SQL), project management software (like Jira or Trello), and certifications such as PMP or Agile/Scrum are often required. Strong leadership, communication, and problem-solving skills set top performers apart by enabling effective team coordination and stakeholder management. These competencies ensure projects are delivered on time, within scope, and generate actionable insights that drive business value.

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

AspectData Science Project ManagerData Analyst
Required CredentialsOften requires a bachelor’s or master’s in data science, analytics, or related fields; project management certifications beneficialTypically holds a bachelor’s degree in statistics, mathematics, or related areas; certifications like Microsoft Excel or Tableau are common
Work EnvironmentLeads data science projects, collaborates with data scientists, engineers, and stakeholdersAnalyzes data sets, creates reports, visualizations, and supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms managing data science initiativesFound across industries for data reporting, business intelligence, and operational analysis

In summary, a Data Science Project Manager oversees data science projects and manages teams, requiring project management skills and relevant certifications. A Data Analyst focuses on analyzing data and creating reports, with a more technical and analytical role. Both roles are essential in data-driven organizations but differ in scope and responsibilities.

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

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

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

The top searched job categories for Data Science Project Manager jobs in California are:

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

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

Infographic showing various Data Science Project Manager job openings in California as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $118,050 per year, or $56.8 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 13 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. 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 environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.