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Data Science Machine Learning Jobs in California

Ignite Digital

Mid Data Scientist

San Diego, CA

D. preferred) * 2 to 5+ years of applied experience in data science, machine learning, or analytics * Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus * Experience working ...

Walmart

Distinguished, Data Scientist

Milpitas, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

Mountain View, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

Cupertino, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

Fremont, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

San Mateo, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

Hayward, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Walmart

Distinguished, Data Scientist

Sunnyvale, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Common Sense

Data Scientist

San Francisco, CA · On-site

$140K - $166K/yr

Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.

Walmart

Distinguished, Data Scientist

San Jose, CA · On-site

$169K - $338K/yr

The Walmart Ads Data Science team develops advanced AI, analytics, and machine learning solutions that impact millions of customers and associates globally. The team consists of software engineers ...

Rakuten Rewards

Director, Data Science

San Mateo, CA · On-site

They are seeking a Director of Data Science to lead their centralized data science organization, influence strategy, and drive execution of machine learning and generative AI initiatives that deliver ...

COMMON SENSE MEDIA

Data Scientist

San Francisco, CA

$14K - $166K/mo

Help uplevel the organization's capabilities in data science, machine learning, and generative AI, supporting the development and testing of AI tools and features across the organization.

BayOne Solutions

Data Scientist

Sunnyvale, CA · On-site

$110K/yr

Required Skills: • Strong expertise in Python • Hands-on experience in Data Science, Machine Learning, and Predictive Analytics • Experience with Pandas, NumPy, Scikit-learn, TensorFlow, or ...

New

Albertsons

Lead Data Scientist

Pleasanton, CA · On-site

Stay current with the latest advancements in data science, machine learning, and AI technologies. * Evaluate and implement new tools and technologies to enhance the data science architecture and ...

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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 Jun 29, 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.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

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 engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

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.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

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.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
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 June 2026, with employment types broken down into 60% Full Time, 36% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Mid Data Scientist

Ignite Digital

San Diego, CA

Other

Posted 28 days ago

Job description

We are seeking a highly skilled and motivated Data Scientist to join our team. In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams to design data-driven solutions, guide decision-making, and deliver measurable business impact.

Responsibilities:

  • Collect, process, and analyze large structured and unstructured datasets from multiple sources
  • Develop, test, and deploy machine learning models to solve business problems and optimize operations
  • Design and implement statistical models, data pipelines, and predictive analytics solutions
  • Communicate findings and insights clearly through visualizations, dashboards, and reports
  • Collaborate with data engineers, analysts, and business stakeholders to identify opportunities for innovation
  • Stay current with emerging data science methodologies, tools, and industry best practices
  • Ensure compliance with data governance, privacy, and security standards

Qualifications:

  • Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred)
  • 2 to 5+ years of applied experience in data science, machine learning, or analytics
  • Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP) is a plus
  • Experience working with big data technologies (e.g., Spark, Databricks, Snowflake) preferred
  • Strong problem-solving and critical thinking abilities
  • Excellent communication skills to translate complex data insights into actionable business recommendations
  • Ability to work independently and in a collaborative team environment
  • Detail-oriented with a passion for continuous learning and innovation
  • Ability to obtain DOD Secret clearance

Technical Skills:

  • Proficiency in Python or R for statistical modeling and machine learning
  • Strong knowledge of SQL and experience with relational and non-relational databases
  • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch)
  • Familiarity with data visualization tools (e.g., Power BI, Tableau, Matplotlib, Seaborn)

Schedule: 100% onsite in San Diego, CA

Salary: 120k+ to align with experience and education

Apply