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Data Science Jobs in California (NOW HIRING)

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

Five9

Vice President, Data Science

San Ramon, CA

The data science team is very much applied - their work directly makes its way into real products providing direct customer benefit. As lead of this team, you will take complete ownership of the ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Wehave multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Walmart

Director, Data Science

Cupertino, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Mountain View, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

San Jose, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

LLNL

Data Science Engineer

Livermore, CA

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Walmart

Director, Data Science

Milpitas, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Hayward, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

We have multiple openings for early-career Data Science Engineers to join a team applying machine learning, AI/NLP, and data science to national security challenges. You will contribute to the design ...

Walmart

Director, Data Science

Sunnyvale, CA · On-site

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

Fremont, CA · On-site

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

Walmart

Director, Data Science

San Mateo, CA

$169K - $338K/yr

As a Director, Data Science - Personalization , you will lead the strategy, development, and scaling of Walmart International's next-generation AI-powered personalization systems . This role will ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data.

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All JobsData Science JobsData Science Jobs in California

Data Science information

See California salary details

$37K

$121.1K

$193.9K

How much do data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data science in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
More about Data Science jobs
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 jobs in California? For Data Science jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in California look for? The top searched job categories for Data Science jobs in California are:
What cities in California are hiring for Data Science jobs? Cities in California with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in California as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Data Science Manager

Data Science Manager

Tatari

San Francisco, CA • On-site

$160K - $220K/yr

Full-time

Medical, Retirement, PTO

Posted 8 days ago

Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.
Responsibilities:
  • Manage and grow a team of data scientists focused on AI/ML product development
  • Facilitate the team's design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
  • Empower the team to innovate and explore new methodologies and improve upon existing algorithms
  • Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
  • Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
  • Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
  • Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
  • Assess and mitigate risks to delivery, owning accountability for downstream business impacts
  • Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
  • Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
  • Conduct performance reviews, coach team members, and support career growth planning for direct reports
  • Contribute to hiring and onboarding efforts for the team

Qualifications:
  • Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  • Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
  • Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
  • Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
  • Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
  • Proven ability to lead through ambiguity and move from 0→1 with new features or systems
  • Advanced knowledge of statistics and probability, particularly their application in model development
  • Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
  • Nice to have:
    • PhD in a technical field
    • Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems - with a successful track record of end-to-end implementation.
    • TV Media Industry or Ad Tech experience a plus

Benefits:
  • Competitive salary ($160,000 - $220,000/annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 WFH reimbursement
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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