Data Science Director Jobs in California
Data Science Director jobs in California are among the most active in the country, concentrated in technology, biotech, financial services, and entertainment analytics, with demand for both emerging and seasoned leaders. San Francisco, Los Angeles, and San Diego are the primary hiring metros, home to major employers like Apple, Google, and Kaiser Permanente. The most sought-after specialties include machine learning platform leadership, clinical and health data strategy, and product analytics at scale. Find a role that fits below and apply directly.
Find Data Science Director JobsOverview
Showing 5 of 105+ Data Science Director jobs











Ready to be a Titan?
We're seeking a Director of Data Science for Operations to lead data science and applied AI across two connected domains: our operational core and the post-sales product experience. You'll partner with operations, finance, product, and engineering leadership to turn complex data into intelligent systems, decisions, and measurable impact—spanning internal operational efficiency and customer-facing AI products like support agents and onboarding. This is a player-coach leadership role: you'll set technical direction, build and develop a team, and own outcomes across both internal operations and in-product intelligence. This role has significant latitude to work on and invent new high ROI projects- the only limit is your creativity.
What You'll Do
- Own the data science and applied AI roadmap for operations—agentic systems, forecasting, lead scoring, voice of the customer aggregation, and decision-support that improve throughput, reliability, and unit economics. Build agents and AI workflows that don't just predict but act.
- Own the data science and AI behind post-sales product experiences, including the support agent, onboarding intelligence, and customer success automation—from design through production deployment, evaluation, and quality monitoring.
- Lead, hire, and develop a data science team executing on operational and product-facing work; set standards for technical rigor, evaluation, and production quality.
- Partner with operations, finance, and product leadership to identify high-leverage problems, frame them, and translate them into operational decisions and shipped AI capabilities.
- Drive the full lifecycle from problem definition through deployment and monitoring, ensuring systems hold up in production—whether powering an internal forecast, an autonomous workflow, or a live customer interaction.
- Establish metrics and evaluation frameworks connecting this work to operational, financial, and customer outcomes (e.g., deflection, resolution quality, time-to-value, retention), including rigorous evaluation of non-deterministic AI systems.
- Collaborate with data engineering, machine learning engineering, platform, and product teams on the infrastructure, data quality, orchestration, tooling, and guardrails these systems depend on.
- Communicate findings and recommendations to executive stakeholders, balancing technical depth with business clarity.
- Champion an AI/agent-first way of working within the team—both as a hands-on technical leader (e.g., Claude Code) and by inventing agentic systems that make the team faster.
What You'll Bring
- 8+ years in data science or applied AI/ML, with 5+ years leading and growing teams.
- Demonstrated track record deploying systems that delivered measurable impact—across both internal operational decisions and customer-facing AI features.
- Strong foundation in statistics and ML, plus depth in modern AI: LLMs, agentic systems, orchestration (e.g., tool use, MCP), retrieval, and the evaluation practices these require.
- Experience building or owning production AI systems—agents, conversational systems, or autonomous workflows—and the eval, monitoring, and safety practices they demand.
- Fluency in SQL and Python; familiarity with modern data and AI stacks (cloud warehouses, dbt, LLM/agent deployment pipelines).
- Proven ability to partner with non-technical executives and translate ambiguous business problems into tractable work.
- Comfort operating in a fast-moving, data-rich environment where decisions carry real operational, cost, and customer-experience consequences.
Nice to Have
- Background in B2B SaaS, marketplaces, logistics, or field operations.
- Familiarity with customer success, onboarding, or support operations as a domain.
Be Human With Us:
Being human isn’t about checking every box on a list. It’s about the experiences we have, people we meet, and the perspectives we share. So, if you have the skills but are hesitant to apply because of your background, apply anyway. We need amazing people like you to help us challenge the conventional and think differently about the problems that we’re solving. We’re in this together. Come be human, with us.
Use of AI Technology:
We use technology, including automated and AI-assisted tools, to support certain aspects of our recruitment process. These tools are designed to improve efficiency and enhance the candidate experience. AI tools are not used to make hiring decisions; all hiring decisions are made by our hiring teams.
What We Offer:
When you join our team, you’re not just accepting a job. You’re making a career move. Here’s how we’ll support you in doing some of the most impactful work of your career:
- Flextime, recognition, and support for autonomous work: Flexible time off with ample learning and development opportunities to continue growing your career. We offer a comprehensive onboarding program, leadership training for Titans at all levels, and other programs and events. Great work is rewarded through Bonusly, peer-nominated awards, and more.
- Holistic health and wellness benefits: Company-paid medical, dental, and vision (with 100% employer paid options and 90% coverage for dependents), FSA and HSA, 401k match, and telehealth options including memberships to One Medical.
- Support for Titans at all stages of life: Parental leave and support, up to $20k in fertility services (i.e. IUI and IVF), surrogacy, and adoption reimbursement, on demand maternity support through Maven Maternity, free breast milk shipping through Maven Milk, pet insurance, legal advisory services, financial planning tools, and more.
At ServiceTitan, we celebrate individuality and uniqueness. We believe that the convergence of fresh perspectives and experiences from all walks of life is what makes our product and culture so great. We strongly encourage people from underrepresented groups to apply. We do not discriminate against employees based on race, color, religion, sex, national origin, gender identity or expression, age, disability, pregnancy (including childbirth, breastfeeding, or related medical condition), genetic information, protected military or veteran status, sexual orientation, or any other characteristic protected by applicable federal, state or local laws.
See All 105+ Data Science Director Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in California
Where California roles are concentrated, by current openings.
Data Science Director Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software24
- Electronics & Hardware4
- Biotechnology & Pharmaceuticals4
- Consulting & Professional Services4
- Retail3
What California Employers Look For
The qualifications that appear most often in data science director jobs across California.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Seven or more years of data science experience including people management or team leadership
- Proficiency in Python, R, SQL, and modern machine learning frameworks such as TensorFlow or PyTorch
- Demonstrated experience building and scaling data science teams in cross-functional environments
- Strong background in translating business problems into data-driven strategies and measurable outcomes
- Experience with cloud platforms such as Google Cloud, AWS, or Azure in a production analytics environment
Data Science Director Jobs in California: Frequently Asked Questions
How do you become a data science director in California?
Most data science directors in California hold at least a master's degree in data science, statistics, or computer science, though a bachelor's combined with substantial industry experience is common at top California tech and biotech employers. There is no state-issued license required for this role. The typical California path moves from individual contributor analyst or machine learning engineer roles through a senior scientist or staff position before stepping into people management and ultimately a director title at a California-headquartered company or research organization.
How much do data science directors make in California?
Data science directors in California earn a median of about $141,590 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $77,480 for the lowest 10% to over $224,920 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science directors in California?
Employers hiring data science directors in California right now include TikTok, Adobe, and Apple, based on current listings on Migrate Mate as of August 2026. California's concentration of technology headquarters, health systems, and financial institutions means director-level data science roles appear consistently across both large enterprise employers and well-funded growth-stage companies in the state.
Which California cities have the most data science director jobs?
San Jose, San Francisco, and San Diego have the most data science director openings in California. San Francisco and the broader Bay Area lead because of the density of technology headquarters and venture-backed companies there, Los Angeles draws director-level demand from media, entertainment analytics, and a growing tech sector, and San Diego's concentration of biotech and life sciences firms generates consistent openings for leaders who can oversee clinical and genomic data programs.
Are there remote data science director jobs in California?
Yes, and more than most fields. About 52% of data science director openings tied to California are remote or hybrid as of August 2026, reflecting how central this role is to distributed engineering and product organizations. Strategy, modeling oversight, and stakeholder reporting are the parts of the role most often performed fully remote, while roles involving sensitive health or financial data typically require at least a hybrid presence.
How can I get hired as a data science director in California with little or no experience?
The most realistic entry path is moving into a senior individual contributor role first, then building toward management. Large California employers like Kaiser Permanente, Wells Fargo, and California-based technology companies run associate data scientist and rotational analytics programs designed for candidates early in their careers. Transitioning from adjacent roles such as machine learning engineer, quantitative analyst, or analytics manager is a common bridge. Building a portfolio that demonstrates end-to-end project ownership, and earning credentials like a graduate degree from a UC campus or a professional certification in machine learning, strengthens a California candidacy at the director pipeline level.
Where can I find and apply to data science director jobs in California?
You can find and apply to data science director jobs in California on Migrate Mate, which lists current California openings across technology, healthcare, financial services, and other industries. Find roles that fit your background and apply directly to the ones that match.
See All 105+ Data Science Director Jobs in California
Find roles in California that match your experience and apply in just a few clicks.
Find Data Science Director Jobs