(USA) Principal, Data Scientist
Walmart
Data Science
USD 110k-220k / year + Equity
Posted on May 19, 2026
Position Summary...
What you'll do...
Role summary:Walmart is seeking a Principal Data Scientist to lead the development and deployment of advanced analytical models that drive business insights and strategic decision-making. This role requires expertise in machine learning, statistical analysis, and data visualization to solve complex problems across multiple domains. The successful candidate will collaborate with cross-functional teams to translate business needs into scalable data solutions, mentor associates, and ensure the quality and impact of data-driven initiatives. Strong coding skills and a deep understanding of data ecosystems are essential to support innovation and continuous improvement.
About the team:
The team focuses on AI discovery, research, and designing algorithmic solutions to enhance operational efficiency in Walmart US stores. It excels in rapid prototyping of machine learning, agentic AI, and simulation models. Team members leverage expertise in data science, predictive analytics, and data visualization to develop impactful solutions. Collaborating across functions, the team translates business needs into scalable, data-driven strategies. Emphasizing continuous learning and innovation, it delivers measurable improvements in store operations and customer experience, supporting Walmart’s commitment to operational excellence and advanced technology integration.
What you'll do:
- Develop, test, and deploy advanced machine learning models and data-driven solutions aligned with business objectives.
- Analyze complex business problems to identify root causes and recommend effective technology-focused approaches.
- Lead data source identification, ensuring data quality and suitability for analytical modeling.
- Design and implement data visualization strategies to communicate insights clearly to various stakeholders.
- Mentor team members on modeling techniques, data interpretation, and best practices.
- Collaborate cross-functionally to translate business requirements into scalable data science initiatives.
- Monitor model performance, conduct validation, and ensure sustainable deployment and lifecycle management.
What you'll bring:
- Extensive experience in machine learning algorithms, deep learning, and advanced statistical analysis to develop and deploy scalable data science solutions.
- Proficiency in programming languages including Python, SQL, and Java, with strong coding and testing capabilities.
- Expertise in data visualization tools and techniques to effectively communicate complex insights to varied stakeholders.
- Solid understanding of business domains and ability to translate business requirements into actionable data strategies.
- Proven leadership skills in mentoring and guiding teams, fostering continuous learning and innovation.
- Familiarity with cloud platforms such as AWS SageMaker for model deployment and lifecycle management.
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 $110,000.00 - $220,000.00 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 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related fieldPreferred 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, Publications or active peer reviewer in related journals or conference, 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.

















