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Data Science Machine Learning Jobs in California

Walmart

Senior, Data Scientist

Union City, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

San Bruno, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Palo Alto, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Castro Valley, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Redwood City, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Fremont, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Richmond, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Berkeley, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Daly City, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Cupertino, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

San Leandro, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Walmart

Senior, Data Scientist

Newark, CA · On-site

$117K - $234K/yr

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Design, build, train, and deploy machine learning models and data products for enterprise use * Translate business and operational needs into scalable data science solutions and modeling approaches

CorVel Corporation

Data Scientist II

Irvine, CA · On-site +1

Design, build, train, and deploy machine learning models and data products for enterprise use * Translate business and operational needs into scalable data science solutions and modeling approaches

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Showing results 1-20

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in California

Data Science Machine Learning information

See California salary details

$37K

$121.1K

$193.9K

How much do data science machine learning jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data science machine learning 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 Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.
What cities in California are hiring for Data Science Machine Learning jobs? Cities in California with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in California as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% 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.
Senior Manager, Infrastructure Data Science

Senior Manager, Infrastructure Data Science

Databricks

Mountain View, CA • On-site

$129K - $175K/yr

Full-time

Posted 9 days ago

Job description

Job Summary:
Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of their infrastructure through data science. This role involves leading a team of data scientists to address complex challenges in capacity planning, performance optimization, and reliability engineering, while promoting a data-driven approach to infrastructure decisions.
Responsibilities:
• Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness.
• Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies.
• Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity.
• Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance.
• Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality.
• Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions.
Qualifications:
Required:
• 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies
• 5+ years of management experience hiring and developing teams
• Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment
• Knowledge of statistics and rigorous analytical techniques
• Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team
• Bias to action and passion for delivering high-quality data solutions
• A passion for problem-solving and comfort with ambiguity
• MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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