The Principal Data Scientist will lead the development and deployment of advanced AI models to solve complex business challenges. This role requires expertise in machine learning, statistical analysis, and optimizations to translate business needs into scalable data-driven solutions. The position involves mentoring team members, collaborating cross-functionally, and ensuring model accuracy and sustainability. The successful candidate will drive innovation by leveraging cutting-edge technologies and methodologies, contributing to strategic initiatives that enhance operational efficiency and deliver measurable business impact within a dynamic and evolving data ecosystem.
About the team:
The Retail Intelligence team drives AI discovery, research, and the design of algorithmic solutions to enhance operational efficiency across Walmart stores. The team excels in rapid prototyping of machine learning, agentic AI, and simulation models, transforming prototypes into scalable production systems that deliver measurable business impact. Collaborating closely with engineering, product, UX, and retail operations, the team ensures solutions are practical and widely adoptable. This collaborative environment fosters innovation and the application of advanced techniques such as deep learning, statistical analysis, and MLOps to solve complex retail challenges effectively.
What you'll do:
- Develop, test, and deploy advanced machine learning models using languages such as Python and SQL to address complex business challenges.
- Analyze business problems to identify root causes and recommend data-driven solutions aligned with strategic objectives.
- Identify, source, and validate high-quality data from multiple systems to support analytical modeling and insights generation.
- Lead model assessment, validation, and continuous improvement to ensure accuracy, robustness, and scalability in production environments.
- Collaborate with stakeholders to translate business requirements into actionable data science initiatives and communicate findings effectively.
- Mentor team members on advanced analytics techniques, coding best practices, and data visualization methods.
What you'll bring:
- Extensive experience in developing and testing code using languages such as Python, SQL, and Java.
- Proficiency in machine learning algorithms, deep learning, and advanced statistical analysis.
- Strong knowledge of MLOps practices and deployment of scalable models in production environments.
- Expertise in data source identification, data quality assessment, and data strategy application.
- Ability to translate complex business problems into effective analytical models and solutions.
- Skilled in data visualization tools and techniques to communicate insights clearly.
- Proven leadership in mentoring teams and driving cross-functional collaboration.
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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, 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.Primary Location...802 Respect Dr, Bentonville, AR 72716, United States of AmericaWalmart 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.Skills Required
- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT or related field plus 3 years' analytics experience; OR Master's plus 1 year; OR 5 years' analytics experience
- Extensive experience coding and testing in Python, SQL, and Java
- Proficiency in machine learning algorithms, deep learning, and advanced statistical analysis
- Strong knowledge of MLOps practices and deploying scalable models to production
- Expertise in identifying data sources, assessing data quality, and applying data strategy
- Ability to translate complex business problems into analytical models and actionable solutions
- Skilled in data visualization techniques to communicate insights
- Proven leadership experience mentoring teams and driving cross-functional collaboration
- Experience with optimization models and simulation (mentioned as part of role focus)
- PhD in Machine Learning, Computer Science, Operations Research, Statistics, Applied Mathematics, or Econometrics; publications or peer-reviewer activity
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience using open-source ML frameworks (scikit-learn, TensorFlow, PyTorch)
- Knowledge of digital accessibility best practices and WCAG 2.2 AA standards
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.







