Data Science Manager Jobs in California
Data Science Manager jobs in California rank among the most active in the country, with deep demand concentrated in technology, financial services, healthcare analytics, and entertainment across seniority levels from team lead to senior director. San Francisco, Los Angeles, and San Diego are the primary hiring centers, home to established employers such as Google, Wells Fargo, and Kaiser Permanente that consistently hire for these roles. Machine learning platform leadership, applied AI product analytics, and enterprise data governance are the specialties appearing most often in California postings. Find a role that fits below and apply directly.
Find Data Science Manager JobsOverview
Showing 5 of 123+ Data Science Manager jobs
Overview
Intuit’s Identity Data Science Team is looking for a hands-on Senior Data Scientist who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit’s Identity capabilities within Intuit’s Platform. As a key member of the data science team, you will have a strong track record of combining advanced analytical skills with exceptional business and entrepreneurial acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm.
This is an exciting time to join the Identity Data Science Team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network, password-less authentication powered through passkeys, Generative AI experiences, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit’s decision-making process, and data scientists are a critical component to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit’s future growth.
Responsibilities
- Partner with cross functional teams to drive data-backed decisions and actionable insights
- Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights
- Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in writing and through oral presentations
- Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals
- Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
- Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available
- Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution
- Share responsibility for owning and maintaining the data science backlog, connecting directly with partners and stakeholders to communicate and align on priorities
Qualifications
- 5+ years of experience working in web, marketing, product, analytics, or other related data science fields with a strong knowledge of statistics
- Exceptional SQL skills and experience working with granular web and native clickstream data
- Highly proficient in Tableau, Qliksense, Quicksight or similar software
- Exceptional ability to take initiative, be a self-starter, and solve problems
- Outstanding communications skills with the ability to influence decision makers and build consensus with stakeholder teams
- Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
- Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines
- Love for mentoring and guiding others on best practices. Passionate about the advancement of the whole team
- Experience in programming languages, automation tools, and stats packages (e.g. Python) is a plus; comfortable creating re-usable data pipelines
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $149,500 - $202,500
Overview
Intuit’s Identity Data Science Team is looking for a hands-on Senior Data Scientist who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit’s Identity capabilities within Intuit’s Platform. As a key member of the data science team, you will have a strong track record of combining advanced analytical skills with exceptional business and entrepreneurial acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm.
This is an exciting time to join the Identity Data Science Team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network, password-less authentication powered through passkeys, Generative AI experiences, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit’s decision-making process, and data scientists are a critical component to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit’s future growth.
Responsibilities
- Partner with cross functional teams to drive data-backed decisions and actionable insights
- Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights
- Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in writing and through oral presentations
- Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals
- Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases
- Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available
- Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution
- Share responsibility for owning and maintaining the data science backlog, connecting directly with partners and stakeholders to communicate and align on priorities
Qualifications
- 5+ years of experience working in web, marketing, product, analytics, or other related data science fields with a strong knowledge of statistics
- Exceptional SQL skills and experience working with granular web and native clickstream data
- Highly proficient in Tableau, Qliksense, Quicksight or similar software
- Exceptional ability to take initiative, be a self-starter, and solve problems
- Outstanding communications skills with the ability to influence decision makers and build consensus with stakeholder teams
- Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
- Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines
- Love for mentoring and guiding others on best practices. Passionate about the advancement of the whole team
- Experience in programming languages, automation tools, and stats packages (e.g. Python) is a plus; comfortable creating re-usable data pipelines
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
San Diego $149,500 - $202,500
See All 123+ Data Science Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Science Manager JobsData Science Manager Jobs by City in California
Where California roles are concentrated, by current openings.
Data Science Manager Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring
- Intuit10
- TikTok9
- Meta8
- AbbVie6
- Amazon5
Top Industries Hiring
- Technology & Software11
- Education2
- Banking & Financial Services2
- Biotechnology & Pharmaceuticals2
- Retail1
What California Employers Look For
The qualifications that appear most often in data science manager jobs across California.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of hands-on data science or analytics experience with at least two in a leadership role
- Demonstrated experience managing cross-functional data science teams and setting technical roadmap priorities
- Proficiency in Python or R, SQL, and modern machine learning frameworks such as TensorFlow or PyTorch
- Experience deploying and monitoring production ML models in cloud environments such as AWS, GCP, or Azure
- Strong communication skills to translate complex model outputs into actionable insights for non-technical stakeholders
Data Science Manager Jobs in California: Frequently Asked Questions
How do you become a data science manager in California?
There is no state-issued license required to work as a data science manager in California. The typical path starts with a bachelor's or master's degree in data science, statistics, mathematics, or computer science, followed by several years as an individual-contributor data scientist or analyst. California employers look for progression into senior IC roles before a management transition, and a portfolio of shipped ML or analytics projects carries significant weight in the hiring process.
Which companies hire data science managers in California?
Employers hiring data science managers in California right now include Intuit, TikTok, and Meta, based on current listings on Migrate Mate as of November 2026. California's concentration of technology headquarters, major financial institutions, and large integrated health systems means demand is distributed across multiple industries rather than limited to a single sector.
Which California cities have the most data science manager jobs?
San Francisco, San Jose, and San Diego have the most data science manager openings in California. San Francisco leads because of its density of technology headquarters and venture-backed growth-stage companies, while Los Angeles reflects demand from entertainment analytics, fintech, and healthcare, and San Diego's presence is driven largely by biotech and defense technology employers concentrated in the area.
Are there remote data science manager jobs in California?
Yes, and more than most fields. About 64% of data science manager openings tied to California are remote or hybrid as of November 2026, reflecting the desk-based and highly digital nature of the work. Roles focused on individual contributor management, model strategy, and analytics reporting tend to be the most remote-friendly, while positions requiring close collaboration with engineering or product teams in-office more often carry a hybrid requirement.
How can I get hired as a data science manager in California with little or no experience?
The most realistic entry path is transitioning from a senior data scientist or analytics engineer role at a California employer rather than applying directly to manager openings. Large California technology and healthcare employers frequently post lead data scientist or staff data scientist roles that carry informal mentorship duties and serve as a bridge to formal management. Building a visible portfolio of end-to-end ML projects, contributing to open-source work, and completing a credential such as a professional machine learning certificate from a recognized program strengthens a candidate's case significantly before pursuing management titles.
Where can I find and apply to data science manager jobs in California?
You can find and apply to data science manager jobs in California on Migrate Mate, which lists current California openings. Find the roles that fit your background and apply directly from the listing.
See All 123+ Data Science Manager Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Science Manager Jobs