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Data Science Machine Learning Jobs in California

Walmart

(USA) Senior Manager, Data Science

San Bruno, CA

$132K - $264K/yr

Deep understanding of machine learning, statistical modeling, and data science techniques used for risk mitigation in e-commerce or marketplace environments. * Proven ability to build, deploy, and ...

VSolvit

DATA SCIENTIST II (MACHINE LEARNING)

Norco, CA · On-site

$115K - $130K/yr

Stay up-to-date with the latest developments in data science, machine learning, and related fields * Provide technical guidance and mentorship to junior data scientists and analysts Basic ...

Rule14

Be Seen First

Data Scientist Machine Learning

Santa Monica, CA · On-site

$65K - $85K/yr

As a Data Scientist Machine Learning, you will work within a small data ... science team focusing on predictive modeling, natural language processing, computer vision ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision-making and user experience. This role offers an exciting opportunity to ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA · On-site

$94.80K - $161K/yr

Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or ...

Cedars Sinai

Research Data Scientist

West Hollywood, CA

$94.80K - $161K/yr

Create sustainable data science infrastructure and adheres to data analysis/machine learning best practices. Perform data cleaning, quality control, exploratory data analysis to gauge the need for or ...

Ignite Digital

Mid Data Scientist

San Diego, CA · On-site

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

$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

$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 ...

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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 May 30, 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 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 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 are popular job titles related to Data Science Machine Learning jobs in California? For Data Science Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Machine Learning jobs in California look for? The top searched job categories for Data Science Machine Learning jobs in California are:
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 May 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Data Scientist AI & Machine Learning Innovation *** Direct End Client ***

Data Scientist AI & Machine Learning Innovation *** Direct End Client ***

Projas Technologies, LLC

Mountain View, CA

Other

Posted 22 hours ago

Job description

<>Overview

We re seeking a visionary data scientist to lead the evolution of AI-driven recommendation systems and monetization strategies. This role combines technical leadership, strategic thinking, and hands-on expertise in machine learning and generative AI to deliver transformative solutions at scale.

<>Key Responsibilities
  • Architect and implement advanced machine learning systems that power intelligent recommendations and personalized experiences.
  • Define and execute a forward-looking technical vision for AI capabilities, including generative AI and agent-based systems.
  • Collaborate with engineering, product, and analytics teams to align technical strategy with business objectives.
  • Design and optimize large-scale AI platforms, ensuring scalability, reliability, and operational excellence.
  • Stay ahead of emerging trends in AI, identifying opportunities and risks to guide innovation and maintain competitive advantage.
  • Mentor and guide data scientists and engineers, fostering best practices and technical excellence.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
<>Required Qualifications
  • MS or PhD in Computer Science, Machine Learning, Data Science, or related field.
  • 10+ years of experience in data science, software engineering, or AI systems architecture.
  • Proven track record of building and scaling machine learning systems for real-world applications.
  • Strong programming skills in Python, Java, or C++.
  • Expertise in designing next-generation AI solutions, including generative AI and semantic search.
  • Exceptional communication and leadership skills, with the ability to influence cross-functional teams.
<>Preferred Qualifications
  • Experience in ad technology or monetization strategies.
  • Background in developing generative AI capabilities and supporting infrastructure.
  • Ability to thrive in fast-paced, large-scale environments.

data scientist, machine learning, AI, generative AI, recommendation systems, semantic search, knowledge graph, Python, Java, C++, big data, ETL, ad tech, monetization, data architecture, AI systems, ML pipelines, predictive modeling, deep learning, cloud computing, distributed systems, operational excellence, leadership, mentoring, innovation

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