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Position Summary...

What you'll do...

We are looking for a passionate Data Scientist to deliver production-grade machine learning and advanced analytics at enterprise scale. You will translate ambiguous business questions into measurable problems, build models and data products end to end, and communicate clear insights that influence decisions across the business. **What you’ll do**

+ Own the full data science lifecycle from problem framing and data discovery through modeling, evaluation, deployment, and monitoring.

+ Build robust predictive, optimization, and experimental solutions using modern ML and statistical methods, then iterate based on offline and online performance.

+ Develop reliable data pipelines and features in partnership with data engineering, and uphold data quality, governance, and scalability standards.

+ Communicate findings with compelling narratives and visualizations for technical and non-technical audiences, including leadership.

+ Collaborate in cross-functional squads with product, engineering, analytics, and operations to launch and improve ML solutions in production.

+ Stay current on ML, GenAI, and optimization techniques and evaluate their practical impact within large-scale systems.

What you’ll bring

+ Proven experience building and deploying ML models for real-world applications, including performance tuning, validation, and A/B testing.

+ Strong programming skills in Python and SQL, plus experience with common ML libraries and open-source frameworks such as scikit-learn, PyTorch, or TensorFlow.

+ Hands-on experience working with large datasets, distributed compute, and production data pipelines.

+ Excellent communication, structured problem solving, and the ability to navigate ambiguity while driving clarity and outcomes.

Minimum qualifications

+ Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years of experience in an analytics-related field; OR

+ Master’s degree in one of the above fields and 1 year of experience in an analytics-related field.

Preferred qualifications

+ Depth in data science methods such as supervised and unsupervised learning, forecasting, causal inference, or mathematical optimization.

+ Experience with MLOps tooling and practices for experimentation, deployment, monitoring, and model lifecycle management.

+ Familiarity with GenAI and LLM-adjacent work such as prompt design, retrieval-augmented generation, or model fine-tuning.

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 (https://one.walmart.com/) .

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 :

- 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 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...

703 Associate Drive, Bentonville, AR 72716, 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.

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 diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.