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Data Science Jobs in San Ramon, CA (NOW HIRING)

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 ...

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality ...

The Data Science Consultant role involves solving data problems end to end, utilizing machine learning and data analysis to enhance customer value and drive business growth. Responsibilities : • ...

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

You will develop and execute data science strategies for forecasting and gen AI, ensuring Walmart delivers the right value to customers while maximizing business performance. About the Team Applied ...

Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets. * Perform R&D work by prototyping new ...

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Data Science information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do data science jobs pay per year?

As of May 30, 2026, the average yearly pay for data science in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

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.

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 are the most commonly searched types of Data Science jobs in San Ramon, CA? The most popular types of Data Science jobs in San Ramon, CA are:
What are popular job titles related to Data Science jobs in San Ramon, CA? For Data Science jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in San Ramon, CA look for? The top searched job categories for Data Science jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Data Science jobs? Cities near San Ramon, CA with the most Data Science job openings:
Director, Data Science

Director, Data Science

Walmart

San Mateo, CA

$169K - $338K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 21,574 frontline employees who took The Breakroom Quiz

22nd of 39 rated national retailers


Job description

Position Summary...What you'll do...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 drive innovation across recommendation systems, relevance, and customer experience, leveraging advanced machine learning, LLMs, and agentic AI frameworks to deliver highly relevant and contextual experiences for millions of customers globally. You will lead a high-performing team of data scientists, applied researchers, and ML engineers, translating cutting-edge AI innovation into measurable business outcomes across multiple international markets. 
What You’ll Do...
  • Define Personalization Strategy
    Set and execute a multi-year vision for AI-driven personalization, aligning scientific innovation with business priorities and customer experience goals.
  • Lead Advanced AI & Personalization Systems
    Design and scale recommendation engines, ranking systems, conversational personalization, and relevance models using LLMs, embeddings, RAG, and agentic AI systems.
  • Architect Scalable AI Platforms
    Build and evolve large-scale personalization platforms using modern cloud and data technologies, ensuring reliability, scalability, and global adaptability.
  • Establish Experimentation & Measurement Frameworks
    Drive A/B testing, uplift modeling, and experimentation strategies to measure impact across customer engagement, relevance, and business KPIs.
  • Champion Responsible AI & Governance
    Ensure systems adhere to principles of fairness, transparency, and compliance, with strong model governance, monitoring, and safety guardrails.
  • Lead Cross-Functional Execution
    Partner with product, engineering, design, and business leaders across global markets to deliver impactful personalization solutions.
  • Build and Develop Talent
    Mentor and grow a world-class team, fostering a culture of innovation, technical excellence, and ownership.
What You’ll Bring...
  • 12+ years of experience in data science and machine learning, with 5+ years in leadership roles.
  • Proven success building and scaling personalization, recommendation, or search systems in large-scale environments.
  • Deep expertise in Generative AI (LLMs, RAG, embeddings) and modern ML techniques such as reinforcement learning and contextual bandits.
  • Strong experience with cloud-based ML platforms (preferably GCP), distributed data systems, and MLOps practices.
  • Hands-on proficiency in Python, PyTorch/TensorFlow, and large-scale data processing (e.g., Spark, BigQuery).
  • Strong product mindset with the ability to translate complex problems into scalable AI solutions.
  • Excellent communication and leadership skills, with experience influencing senior stakeholders and driving cross-functional alignment.
Preferred Qualifications
  • Experience with agentic AI systems, multi-agent architectures, or conversational AI.
  • Background in global or multi-market personalization platforms.
  • Experience building real-time personalization or recommendation systems at scale.
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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters 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 fieldPreferred 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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, 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...815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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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