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Data Science Machine Learning Jobs in California

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 ...

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 ...

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 ...

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 ...

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 ...

New

Lead Data Scientist

Pleasanton, CA

$157.90K - $205.30K/yr

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 ...

The Health AI team is at the forefront of machine learning and health science at Apple. We are a ... We are looking for a highly technical and experienced data scientist who can work embedded with ...

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 ...

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

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 31, 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 cities in California are hiring for Data Science Machine Learning jobs? Cities in California with the most Data Science Machine Learning job openings:
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.
Distinguished, Data Scientist

Distinguished, Data Scientist

Walmart

Hayward, CA

$169K - $338K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,582 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...We are seeking a hands-on, highly skilled, and experienced Distinguished Data Scientist to join our team. In this role, you will drive the organization’s data science and AI strategy, provide technical thought leadership, and design scalable AI/ML solutions that solve complex business challenges at enterprise scale. You will lead advanced analytics initiatives, develop innovative machine learning systems, and mentor teams of data scientists and engineers while fostering a culture of innovation, operational excellence, and continuous learning. About the team: 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, data scientists, machine learning engineers, and business experts working together to solve large-scale retail and enterprise challenges using cutting-edge technologies. As part of Walmart Global Tech, the team collaborates closely with product, business, finance, marketing, operations, and UX teams to deliver measurable business value through scalable, secure, and intelligent systems. The organization emphasizes innovation, data-driven decision-making, operational excellence, and continuous improvement while supporting Walmart’s mission of helping customers save money and live better. What you'll do:
  • Develop and drive long-term AI, analytics, and data science strategy aligned with business objectives
  • Lead the design, development, validation, deployment, and scaling of machine learning and optimization models
  • Translate complex business problems into scalable data science and AI solutions with measurable business impact
  • Define success metrics, KPIs, experimentation frameworks, and ROI models for AI initiatives
  • Build and implement advanced analytical models including predictive modeling, optimization, NLP, computer vision, and statistical learning systems
  • Lead exploratory data analysis, automated feature engineering, and experimentation best practices
  • Collaborate with cross-functional teams including engineering, product, UX, business, and operations to deliver enterprise-scale AI solutions
  • Guide teams in model deployment, lifecycle management, monitoring, governance, and scalability practices
  • Drive innovation by leveraging new algorithms, technologies, data sources, and emerging AI methodologies
  • Present complex analytical insights and business recommendations to executive leadership and diverse stakeholder groups
  • Mentor and develop data scientists and engineers while fostering technical excellence and continuous learning
  • Influence organizational strategy through data-driven insights, industry expertise, and thought leadership
  • Ensure data governance, quality standards, accessibility, scalability, and compliance across analytical ecosystems
  • Build strong internal and external partnerships to advance Walmart’s AI and analytics capabilities
What you'll bring:
  • 10+ years of experience in Data Science, Machine Learning, AI, or Advanced Analytics.
  • Extensive experience across the full machine learning lifecycle including data sourcing, feature engineering, modeling, validation, deployment, monitoring, and maintenance.
  • Strong expertise in statistical modeling, optimization techniques, predictive analytics, and machine learning algorithms.
  • Experience with advanced AI/ML methods including NLP, computer vision, neural networks, Bayesian inference, ensemble methods, and deep learning.
  • Hands-on experience with Python, R, SQL, Java, C++, and modern ML frameworks and libraries.
  • Strong knowledge of big data ecosystems, distributed data platforms, cloud technologies, and scalable model deployment architectures.
  • Experience with MLOps, model lifecycle management, monitoring, testing, and governance frameworks.
  • Expertise in data visualization tools and storytelling techniques including Tableau, Power BI, Plotly, Matplotlib, and related technologies.
  • Strong business acumen with the ability to translate business objectives into technical solutions and measurable outcomes.
  • Experience leading large-scale enterprise AI initiatives and mentoring high-performing technical teams.
  • Excellent communication and stakeholder management skills with the ability to influence executive leadership.
  • Deep understanding of data governance, data quality standards, accessibility, storage, and scalability principles.
  • Proven ability to innovate, drive organizational change, and deliver measurable business impact at scale.
About Walmart Global Tech Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity experts, and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our teams in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can gain new skills, innovate at scale, impact millions, and help reimagine the future of retail. Flexible Work Walmart’s culture sets us apart, and we know being together helps us innovate, learn, and grow great careers. This role offers flexible work arrangements that support both collaboration and work-life balance while enabling associates to do their best work. Benefits Beyond competitive compensation, associates can receive incentive awards for performance. Additional benefits include 401(k) match, stock purchase plans, maternity and parental leave, PTO, comprehensive health benefits, and much more. Belonging We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging and create opportunities for all associates, customers, and communities we serve. At Walmart, our vision is “everyone included.” By fostering a workplace culture where everyone feels included, we strengthen our business, improve customer experiences, and support the communities where we operate. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $169,000.00 - $338,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field. Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 3: 8 years' experience in an analytics or related field.Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.Primary Location...1395 Crossman Ave, Sunnyvale, CA 94089-1114, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail, professional, labor and political organizations, specialized design services, transportation and warehousing and fitness and sports centers

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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