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Data Science Manager Jobs in California (NOW HIRING)

Waymo

Senior Data Scientist

San Diego, CA

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Waymo

Data Scientist

Mountain View, CA · On-site +1

$216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Waymo

Data Scientist

Mountain View, CA · On-site

$170K - $216K/yr

In this hybrid role you will report to a Data Science Manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Whatnot

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site +1

$259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Waymo

Senior Data Scientist

Mountain View, CA · On-site

$204K - $259K/yr

In this hybrid role you will report to a data science manager. You will: * Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of ...

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Managing and growing a team of data scientists focused on modeling key business problems. * Mentoring and guiding team members as they build out quantitative models in python using industry-standard ...

Odesus

Manager of Data Science

Burbank, CA

$67.31/hr

Job Location - Burbank, CA Type - Contract (3 months) Pay Rate - $67.31 Per Hour (W2 Only) What We Do/Project Seeking a hands-on data scientist to fill the Manager of Data Science position within our ...

SoFi

Senior Manager, Data Science

San Francisco, CA · On-site

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone ...

Dexcom

Manager Data Science

San Diego, CA

As part of theData Science and Engineering team, this role combines strategic leadership, technicalexpertise, and people management to deliver innovative data solutions while ensuring robust ...

New

Figma

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design ...

Visa

Senior Manager, Data Science

Foster City, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

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Showing results 21-40

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

Data Science Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do data science manager jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data science manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate between technical staff and business stakeholders, often requiring skills in leadership, communication, and familiarity with tools like Python, R, or SQL. Their responsibilities include managing workflows, mentoring team members, and ensuring timely delivery of data-driven solutions.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the most commonly searched types of Data Science jobs in California?

The most popular types of Data Science jobs in California are:

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

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

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

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

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

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

Data Science Manager jobs near you
Infographic showing various Data Science 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 $95,873 per year, or $46.1 per hour.

Senior Data Scientist

Waymo

San Diego, CA

Full-time

Re-posted 19 days ago

Job description

Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design.

In this hybrid role you will report to a data science manager.

You will:

  • Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation.
  • Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving.
  • Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc.
  • Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods.
  • Derive data-driven conclusions and communicate findings to senior stakeholders.
  • Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success.
  • Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products.
  • Mentor other data scientists and provide constructive technical feedback within the team and across Waymo.

You have:

  • Degree in a quantitative field (e.g. Statistics, Mathematics, Physics)
  • 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience
  • Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models
  • Demonstrated knowledge of Python/SQL/R data analysis libraries and packages

We prefer:

  • PhD in a quantitative field
  • A demonstrated track record of independently driving data science projects to deliver business value
  • Experience solving problems related to Autonomous Driving or Ride Hailing
  • Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction

 

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