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Data Science Jobs in Berkeley, CA (NOW HIRING)

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

Director, Data Science

San Francisco, CA · On-site

$290K - $376K/yr

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and ...

Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate business requirement to analytical model * Communicate directly with business users * Technical Skills ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

As a Delivery team, this Department uses industry leading data science and change management practices to drive transition to the sustainable grid of the future. The Department works cross ...

Data Scientist

San Ramon, CA · On-site

$93 - $98/hr

Provides hands-on execution and implementation of data science models. * Translates business analysis needs into well-defined data science problems, selecting appropriate models and algorithms.

Lead, execute, and deliver data science and strategic analytics projects that support Visa's internal Consumer Payments business priorities and align with Visa's long-term growth agenda. * Partner ...

Showing results 41-60

Data Science information

See Berkeley, CA salary details

$45.9K

$150.3K

$240.6K

How much do data science jobs pay per year?

As of Aug 24, 2026, the average yearly pay for data science in Berkeley, CA is $150,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $166,500.00 per year, depending on experience, location, and employer.

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 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 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What are the most commonly searched types of Data Science jobs in Berkeley, CA?

The most popular types of Data Science jobs in Berkeley, CA are:

What are popular job titles related to Data Science jobs in Berkeley, CA?

For Data Science jobs in Berkeley, CA, the most frequently searched job titles are:

What cities near Berkeley, CA are hiring for Data Science jobs?

Cities near Berkeley, CA with the most Data Science job openings:

Infographic showing various Data Science job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $150,286 per year, or $72.3 per hour.

Senior Director, Data Science

Walmart

San Mateo, CA • On-site

$208K - $416K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,498 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...Role summary:
As the Senior Director of Data Science for Commerce Foundational Models, you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart’s next-generation intelligence layer. You will be responsible for the vision, strategy, and execution of large-scale foundational models trained on our massive, multi-modal dataset encompassing billions of customer touch points, transaction histories, search queries etc. Your models will serve as the AI engine powering critical consumer facing and enterprise products across Walmart’s ecosystem, including Search, Personalization, Sponsored Ads, Conversational Commerce, and Supply Chain Forecasting.
About the team:
The AI and Data organization integrates essential capabilities to leverage AI and data as strategic assets across Walmart. It develops and manages shared platforms, intelligence, and decision systems that enhance customer experiences, empower associates, and deliver measurable business outcomes. Within this org, the Retail Intelligence group focuses on creating and deploying scalable AI models and services that bring advanced AI capabilities to Walmart’s products and operations efficiently. The team collaborates closely with stakeholders to drive data strategy, machine learning innovation, and business insights, supporting Walmart’s commitment to operational excellence and continuous improvement.
 
What you'll do:
Key Responsibilities
  • Technical Vision & Strategy: Define the multi-year roadmap for Walmart’s Commerce Foundational Models. Drive the paradigm shift from siloed, domain-specific models to unified, multi-task generative architectures 
  • High-Scale Engineering Leadership: Lead a world-class team of Applied AI Researchers, Machine Learning Engineers, and Data Scientists. 
  • Horizontal Collaboration & Influence: Partner closely with product, engineering, and business leaders across Search, Ads, Personalization, and Customer Experience to ensure foundational models are seamlessly integrated, delivering massive business value.
  • Evangelism & Adoption: Serve as the primary champion for foundational models within Walmart Global Tech. 
What you'll bring:
Minimum Qualifications
  • Master’s degree in Computer Science, Machine Learning, Statistics, Mathematics, or a highly quantitative field.
  • 8+ years of experience directly managing and scaling high-performing data science and ML engineering teams, with at least 3+ years managing managers.
  • Proven track record of designing, training, and deploying deep learning models in production at massive scale
  • Deep understanding of distributed training frameworks

Preferred Qualifications
  • Ph.D. in CS, ML, or a related field with a strong publication record in top-tier AI/ML conferences 
  • Domain Expertise in Commerce/RecSys and experience building Generative Recommenders, Hierarchical Sequential Transducers(HSTU) or sequence-based models for user behavior representation.
  • Deep knowledge of low-latency inference optimization techniques, real-time retrieval.
 
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.
Sunnyvale, California US-11656: The annual salary range for this position is $208,000.00 - $416,000.00
Bentonville, Arkansas US-10735: The annual salary range for this position is $160,000.00 - $320,000.00 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 7
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 5 years' experience in an analytics related field. Option 3: 9 years' experience in an analytics or related
field.
3 years' supervisory experience. 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, 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... 1375 Crossman Ave, Sunnyvale, CA 94089-1114, United States of America Walmart 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.

What Walmart employees say

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Benefits

Hours and flexibility

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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 and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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