Walmart

(USA) Data Scientist III

Walmart Sunnyvale, California, United States · $117K–$234K/yr

Retail · 10,001+ employees

Yesterday
data-scientist Mid (2-5 yrs) Full-time United States
Log in to apply, save this posting, or score it against your profile with AI.

About the role

The Data Scientist III will develop, validate, and deploy scalable machine learning models to drive business value and support data-driven decision-making. They will collaborate with cross-functional teams to translate business requirements into analytical solutions while mentoring junior team members.

What they look for

SQL Python R Machine learning Statistical modeling Predictive modeling Data analysis Feature engineering Hypothesis testing Data governance AWS SageMaker Big data analytics Algorithm design Data visualization Deep learning Generative AI

Requirements

Candidates must have a bachelor's degree in a quantitative field with at least 2 years of experience, or a master's degree, or 4 years of relevant experience. Proficiency in SQL, Python or R, and experience with statistical methods and machine learning are required.

Benefits

Medical coverage Vision coverage Dental coverage 401(k) Stock purchase plan Company-paid life insurance Paid time off Parental leave Family care leave Bereavement leave Jury duty leave Voting leave Short-term disability Long-term disability Company discounts Military leave pay Adoption and surrogacy expense reimbursement Education benefit program

Full description

Position Summary...

What you'll do...

Role summary: Walmart is seeking a Data Scientist III to advance data-driven decision-making by applying advanced analytical modeling, statistical methods, and machine learning techniques. This role involves developing, validating, and deploying scalable models that unlock business value from complex data sets. The successful candidate will collaborate across functions to translate business challenges into data solutions, ensuring data quality and governance standards are met. They will also mentor junior team members and support continuous improvement initiatives, contributing to Walmart’s commitment to operational excellence and innovation through data insights. About the team: The Applied AI team develops advanced Search and Personalization solutions to enhance the shopping experience by making it more relevant and intuitive. Leveraging machine learning, deep learning, and generative AI, the team builds scalable systems for efficient product discovery. Team members collaborate closely, applying expertise in algorithms and solution design to deliver impactful results aligned with business goals. The team maintains a professional environment focused on technical excellence, continuous improvement, and customer-centric innovation, driving meaningful advancements in data science and artificial intelligence. What you'll do:

  • Apply advanced statistical and machine learning techniques to develop predictive models and extract actionable insights from complex data sets.
  • Conduct exploratory data analysis, feature selection, and hypothesis testing to support data-driven decision-making.
  • Collaborate with cross-functional teams to translate business requirements into analytical solutions and scalable model deployments.
  • Ensure data quality and governance standards are maintained throughout the data lifecycle.
  • Develop, test, and optimize code using programming languages such as SQL and Python to support analytical workflows.
  • Communicate findings through effective data visualization and reporting to influence business strategies.
  • Mentor junior team members on modeling and analytical best practices.

What you'll bring:

  • Proven expertise in data management, data quality standards, and governance to ensure reliable and scalable data ecosystems.
  • Strong proficiency in SQL and programming languages such as Python or R for advanced data analysis and model development.
  • Experience applying statistical methods, machine learning algorithms, and predictive modeling techniques to solve complex business problems.
  • Ability to conduct exploratory data analysis, feature engineering, and model validation using appropriate optimization and testing methods.
  • Familiarity with big data analytics platforms and tools, including AWS SageMaker, to support model deployment and scalability.
  • Solid understanding of business requirements and domain knowledge to translate data insights into actionable recommendations.

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 $117,000.00 - $234,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include :

- Stockㅤ

‎ 

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

Similar roles