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Manager Of Data Science Jobs in California (NOW HIRING)

Director of Data Science

San Francisco, CA ยท On-site

$225K - $250K/yr

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 ...

Director of Data Science

Mountain View, CA ยท On-site

$174K - $299K/yr

Role Overview Coupang is seeking a Director of Data Science to lead high-impact, data-driven ... Your personal information will be collected and managed by Coupang as stated in the Application ...

Manager of Data Engineering

Beverly Hills, CA ยท On-site

$200K - $230K/yr

Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate ... * 2+ years of experience managing or formally leading data engineers. * Strong hands-on ...

Manager of Data Engineering

Beverly Hills, CA ยท On-site

$200K - $230K/yr

Partner with Analytics, Data Science, Product, Technology, and business stakeholders to translate ... * 2+ years of experience managing or formally leading data engineers. * Strong hands-on ...

Job Title Manager of Data Analytics Job Duties Pray, Inc. dba Pray.com in Westlake Village, CA is ... Science, Computer Engineering, or any related IT or Engineering field of study plus at least five ...

We are tackling one of the world's most important infrastructure challenges: helping the energy ... As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ...

We are tackling one of the world's most important infrastructure challenges: helping the energy ... As a Data Science Manager, you will act as a pivotal technical leader to bridge the gap between ...

Data Science Manager

Los Angeles, CA ยท On-site

$160K - $220K/yr

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

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Manager Of Data Science information

See California salary details

$30.6K

$95.9K

$169.7K

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

As of Sep 6, 2026, the average yearly pay for manager of data science 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 is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

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

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

What is the difference between Manager Of Data Science vs Data Scientist?

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

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

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

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

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

Director of Data Science

Brigit

San Francisco, CA โ€ข On-site

$225K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!
Brigit is doing innovative and exciting work, but don't just take our word for it, our work is being recognized by others:
  • Built In's 2026 Best Midsize Companies to Work For in New York City
  • Built In's 2025 Best Places to Work For In New York City
  • Built In's 2024 & 2025 Best Startups to Work For In the U.S.
  • Built In's 2023 - 2025 Best Startups to Work For In New York City
  • Fast Company's Most Innovative Companies of 2022
  • Business Insider's Most Promising Consumer Startups 2022
  • Forbes Fintech 50 2022

Role Overview:
At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize in the areas of credit risk and payments, where we already have models deployed. We are looking for a leader to enable continued adoption of AI-assisted development and agentic workflows in how the team builds, evaluates, documents, and ships data science work. Doing this will require our team to grow, but it will also require a more concerted effort to plan and integrate with product teams, understand their roadmap, and explore projects that make sense in this context. To support this growth, we'd like to hire a motivated Director of Data Science to grow and lead this team to its maximum potential.
What you'll be doing:
  • 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 techniques.
  • Evangelizing the data science team's capabilities and integrating with product, engineering and operations teams to build a roadmap and backlog of data science solutions with business impact.
  • Running quarterly planning with the engagement of business stakeholders to ensure that the team is running in the right direction.
  • Helping lead the team's adoption of AI-assisted development and agentic workflows, including identifying practical use cases, setting working norms, and ensuring these tools are used with appropriate review, validation, privacy, and quality standards.
  • Working closely with our Modeling Engineer to optimize and improve our infrastructure for model research, development and deployment.

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 expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.)
  • Experience applying predictive modeling to credit risk assessment, churn prediction, loss and revenue forecasting is beneficial.
  • A Master's or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred
  • Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders
  • A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes
  • Hands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact.

The anticipated annual base salary for this position is $225,000 - $250,000, and a 10% annual bonus opportunity. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.
Our Benefits & Team
  • Medical, dental, and vision insurance
  • Flexible PTO Policy
  • 401k plan
  • Paid Parental Leave
  • Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
  • Monthly reimbursements to use against wifi and cell phone bills
  • Annual reimbursement for Learning & Development
  • Help hard working Americans build a brighter financial future
  • High-growth company
  • A dynamic, flexible and collaborative start-up work environment with a highly talented team

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email accommodations@hellobrigit.com.
Disclosures:
  • For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
  • Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.