(USA) Data Scientist III
Data Science
USD 90k-180k / year + Equity
Posted on Jul 21, 2026
Position Summary...
What you'll do...
Role summary:As a Data Scientist III, you will apply advanced analytical modeling and data management techniques to solve complex business challenges. This role involves developing, validating, and deploying scalable models while ensuring data quality and governance standards are met. You will collaborate across functions to translate business requirements into data-driven solutions, leveraging statistical methods and programming expertise. Additionally, you will mentor junior team members and contribute to continuous improvement initiatives, supporting Walmart’s commitment to operational excellence and informed decision-making through innovative data strategies.
About the team:
The Ecommerce Fulfillment Insights team applies data science, optimization, and artificial intelligence to enhance order fulfillment and delivery efficiency. By transforming complex data into actionable insights, the team supports strategic decisions that improve operations and reduce costs. Members utilize programming, statistical modeling, and data visualization to develop scalable solutions aligned with business goals. Collaborating across functions, the team fosters continuous learning and innovation while upholding high standards of integrity and operational excellence to effectively address evolving business challenges.
What you'll do:
- Apply advanced statistical methods and analytical modeling techniques to develop and refine data-driven solutions.
- Conduct exploratory data analysis, feature selection, and hypothesis testing to support business decision-making.
- Collaborate with cross-functional teams to translate business requirements into scalable data models and insights.
- Develop, test, and deploy analytical models ensuring performance, scalability, and sustainability in production environments.
- Utilize programming languages such as SQL and Python to manage data quality, perform data analysis, and automate workflows.
- Generate clear data visualizations and reports to communicate findings and recommendations effectively.
- Mentor junior associates in modeling techniques and data analytics best practices.
What you'll bring:
- Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data solutions.
- Strong proficiency in SQL and programming languages such as Python or R for advanced data analysis and model development.
- Experience applying advanced statistical methods, machine learning techniques, and exploratory data analysis to solve complex business problems.
- Ability to develop, validate, and deploy analytical models with attention to performance and scalability.
- Skilled in identifying relevant data sources and translating business requirements into data-driven solutions.
- Effective communication skills to present insights and mentor junior team members.
-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, parental leave, family care leave, bereavement, jury duty, and voting. 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.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Live Better U is a company 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 $90,000.00 - $180,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include Regional Pay Zone (RPZ) (based on location).
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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 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.
