Walmart

Staff, Data Scientist | Sunnyvale

(USA) SUNNYVALE TECH CORNERS BLDG 6 CA SUNNYVALE Home Office

Actively hiring, first seen by us 9 hours ago

Pay: Pay not listedSimilar roles state $118K–$195K
Work setting: Working pattern needs review — work setting source
What you'll do... **Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.** Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart?
Read the full posting
Employment: Employment terms need review — employment source
What you'll do... **Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.** Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart?
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

Work authorization: Must already have the right to work**Immigration sponsorship is not available for this role

What you’ll work on

Full posting

Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements.
Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.
Create clear and impactful data visualizations to communicate insights effectively to stakeholders.

From the employer’s posting

Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives. Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements. Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.

Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements. Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems. Create clear and impactful data visualizations to communicate insights effectively to stakeholders.

Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems. Create clear and impactful data visualizations to communicate insights effectively to stakeholders. Collaborate with cross-functional teams to translate business needs into data-driven solutions and strategies.

Education & alternatives

What you'll bring: - Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field with 5+ years of relevant industry experience, or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production. - Proficiency in predictive analytics, machine learning algorithms, and advanced statistical methods to develop and validate robust models.

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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, 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...

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Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Nov 12, 2026today
Recorded sightings: 1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$118K–$195K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,828 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 8 and day 59.

At Walmart, jobs usually come down by about day 3.

From 11,556 similar postings that came down, and 304 of Walmart’s. Coming down is not always a hire.

Walmart is hiring

28 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Data Scientist hiring is picking up
Takes jobs down quickly
11% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
Scala
SQL
NoSQL
Spark
Tableau
Matplotlib
Plotly
scikit-learn
TensorFlow

Where the posting names them

- Proficiency in predictive analytics, machine learning algorithms, and advanced statistical methods to develop and validate robust models. - Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, or Tableau. - In-depth understanding of data strategy, including data quality standards, governance, and scalable data storage solutions.

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, 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...

- Experience with exploratory data analysis, feature engineering, and model deployment in production environments. - Knowledge of database technologies including SQL and NoSQL for effective data sourcing and management. - Excellent communication skills to present technical findings clearly to business stakeholders.

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About Walmart

People: About 2,100,000 in 2026, about the same as the year before.Annual report (SEC Form 10-K)
Company: Listed as WMT.
H-1B visas: 1,049 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Layoff notices: Notices this year and last cover 304 people. The latest was filed March 27, 2026.State WARN notices

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Position Summary...

What you'll do...

**Immigration sponsorship is not available for this role. Applicants must be authorized to work for any employer in the United States without current or future visa sponsorship. This is a full-time onsite role based in Sunnyvale, California; remote and hybrid options are not available.**

Are you a hands-on, full-stack Data Scientist who can architect machine learning solutions for complex business challenges, own the journey from model development to production deployment, and drive large-scale impact using AI, deep learning, and GenAI at Walmart?

Role summary:
The Staff, Data Scientist will leverage advanced analytical techniques and data science methodologies to deliver actionable insights that support strategic business decisions. This role involves identifying and validating data sources, developing predictive models, and deploying scalable solutions while ensuring data quality and governance standards. The position requires collaboration across functions to translate complex business challenges into data-driven solutions, utilizing expertise in machine learning, statistical analysis, and data visualization. The successful candidate will also mentor team members and contribute to continuous improvement initiatives aligned with organizational goals.

About the Team:
The Global Fraud data science team develops real-time and batch decisioning services using advanced machine learning and deep learning techniques to address fraud and risk within Walmart Inc. Focused on delivering a safe and seamless shopping experience, the team drives a proactive, outcome-oriented approach aligned with business goals. Emphasizing real-time decisioning, an adversarial mindset, and operational excellence through MLOps, the team leverages predictive analytics, data strategy, and artificial intelligence to optimize business value while maintaining robust frameworks that support continuous innovation and effective risk management.

What you'll do:

Identify and source relevant data from multiple business domains and distributed data stores to support analytics initiatives.
Perform data quality assessments and ensure data is fit for purpose in alignment with business requirements.
Develop and validate predictive models using advanced statistical and machine learning techniques to address complex business problems.
Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
Collaborate with cross-functional teams to translate business needs into data-driven solutions and strategies.
Deploy and monitor models in production environments, ensuring scalability and performance.
Mentor team members on analytical methods, coding best practices, and data storytelling.

What you'll bring:

Ph.D. in Computer Science, Data Science, Statistics, Machine Learning, Artificial Intelligence, Mathematics, or a related quantitative field with 5+ years of relevant industry experience, or a Master's degree in a related quantitative discipline with 7+ years of experience architecting, building, and deploying machine learning solutions in production.
Proficiency in predictive analytics, machine learning algorithms, and advanced statistical methods to develop and validate robust models.
Strong programming skills in Python and experience with data visualization tools such as Matplotlib, Plotly, or Tableau.
In-depth understanding of data strategy, including data quality standards, governance, and scalable data storage solutions.
Ability to translate complex business requirements into data-driven solutions and actionable insights.
Experience with exploratory data analysis, feature engineering, and model deployment in production environments.
Knowledge of database technologies including SQL and NoSQL for effective data sourcing and management.
Excellent communication skills to present technical findings clearly to business stakeholders.

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 expert's 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 team 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 kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Walmart’s culture is a competitive advantage, and it’s fostered by being together. Working together in person allows us to collaborate, align quickly and innovate with greater speed. We use our campuses to create purposeful connection rooted in deepening understanding and investing in the development of our associates.

Our hubs: Walmart is a global company with offices across the United States and around the world. Our global headquarters is in Bentonville, Arkansas, with primary hubs in the San Francisco Bay area and New York/New Jersey.

Benefits:
Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.

Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas, and opinions – while being inclusive of all people.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

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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 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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, 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...

815 Eleventh Ave, Sunnyvale, CA 94089-4731, 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.

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