(USA) Principal, Data Scientist
Data Science
Posted on Jul 12, 2026
Position Summary...
What you'll do...
Role summary:As a Principal Data Scientist at Walmart, you will lead the development and deployment of advanced analytical models and machine learning solutions that drive strategic business decisions. This role requires deep expertise in coding, statistical analysis, and Deep learning solutions to translate complex data into actionable insights. You will collaborate across functions to identify data sources, design scalable solutions, and mentor team members. Your work will directly impact business outcomes by applying innovative techniques and ensuring the integrity and effectiveness of data-driven initiatives within a dynamic, technology-focused environment.
About the team:
The Applied AI team develops intelligent Search and Personalization solutions that enhance the shopping experience by making it more relevant and intuitive. Leveraging advanced machine learning and generative AI technologies, the team designs scalable systems that help customers find the right products effortlessly. Members collaborate to apply expertise in algorithms, deep learning, and solution design, ensuring innovative and effective applications. The team is committed to continuous improvement, delivering impactful results that align with business goals while fostering a professional environment focused on technical excellence and customer-centric innovation.
What you'll do:
- Develop, test, and deploy advanced machine learning models and AI solutions aligned with business requirements.
- Analyze complex business problems to design data-driven strategies and quantify their impact.
- Identify, assess, and validate data sources ensuring quality and relevance for modeling and analytics.
- Lead model evaluation, tuning, and lifecycle management to ensure accuracy, robustness, and scalability.
- Collaborate with stakeholders to translate business needs into technical solutions and actionable insights.
- Mentor team members on analytical methods, coding standards, and emerging technologies.
- Communicate findings through effective data visualization and storytelling to influence decision making.
What you'll bring:
- Extensive experience in ML, deep learning, and Embedding strategies to develop and deploy scalable data science solutions.
- Proficiency in programming languages including Python and SQL, with strong coding and testing capabilities.
- Expertise in data strategy, quality assessment, and source identification to ensure reliable and fit-for-purpose data.
- Demonstrated ability to design, validate, and optimize analytical models using techniques such as Bayesian inference and neural networks.
- Skilled in MLOps practices and cloud platforms like GCP for model deployment and lifecycle management.
- Strong business acumen to translate complex data insights into actionable strategies aligned with organizational goals.
- Experience mentoring teams and guiding technical development to foster continuous innovation.
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 $143,000.00 - $286,000.00 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.