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Data Science Project Manager Jobs in California (NOW HIRING)

Galent

Lead Data Science

San Mateo, CA · On-site

Lead Data Scientist We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive ... managing project delivery Hands-on experience with machine learning, analytics, and large-scale ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

JOB QUALIFICATIONS The ideal candidate is a seasoned data science professional with strong leadership skills, a track record of managing data science projects, and the ability to translate complex ...

Hinge Health, Inc

Data Science Manager

San Francisco, CA · On-site

$220K - $330K/yr

We are seeking a Manager, Data Science to lead the data strategy for two critical areas of our ... and project prioritization. * Product Data Quality & Infrastructure: Drive the "Product Data ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

The Manager, Data Science - Oncology will support how we advance data capture, build and optimize ... This role will focus on applications in Oncology R&D and support data projects from across the ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

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All JobsData Science Project Manager JobsData Science Project Manager Jobs in California

Data Science Project Manager information

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

As of Jun 28, 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 the 80 20 rule in data science?

The 80/20 rule, also known as Pareto principle, suggests that in data science projects, roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to optimize model performance efficiently.

What is the hottest job of the 21st century?

Data Science Project Managers are among the most in-demand roles due to the rapid growth of data-driven decision making. They coordinate teams, manage projects, and utilize skills in analytics, programming, and tools like Python or R to deliver insights, making this a highly sought-after career in the evolving tech landscape.

What is a data science project manager?

A data science project manager oversees data-driven projects, coordinating teams of data scientists, analysts, and engineers to ensure timely delivery of insights and solutions. They plan project timelines, manage resources, and communicate findings to stakeholders, often using tools like project management software and understanding data science methodologies.

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 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 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.

Can a data scientist become a project manager?

A data scientist can become a project manager by developing skills in leadership, communication, and project planning, often gaining experience in managing teams and projects. Transitioning may also involve obtaining certifications like PMP or Agile, and understanding project management tools. Success depends on the individual's ability to adapt their technical expertise to broader project oversight 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:
Data Science Project Manager jobs near you

Lead Data Science

Galent

San Mateo, CA • On-site

Other

Posted 3 days ago

Job description

Lead Data Scientist

We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain. This role will lead a team of data professionals, partner with client stakeholders, and architect scalable analytics and machine learning solutions.

Key Requirements:
Strong expertise in Python and advanced SQL (mandatory)
Experience delivering data science solutions in Banking, Payments, Cards, Lending, or Financial Services
Proven experience leading teams and managing project delivery
Hands-on experience with machine learning, analytics, and large-scale data processing
AWS cloud experience preferred (S3, Glue, EMR, Redshift, SageMaker)
Strong stakeholder management and client-facing communication skills
Experience with Spark, MLOps, CI/CD, and modern data engineering practices is a plus

Responsibilities:
Lead delivery of data science and data engineering initiatives
Manage and mentor a team of data scientists and engineers
Design and deploy scalable analytics and ML solutions
Collaborate with business and technical stakeholders to solve complex data challenges
Ensure quality, governance, and compliance for financial data environments

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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