Position Summary...
What you'll do...
Role summary:As a Distinguished 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 data strategy, predictive analytics, and visualization to translate complex data into actionable insights. You will collaborate across functions to address multifaceted business challenges, mentor teams, and ensure scalable, high-impact solutions. Your work will directly influence operational efficiency and innovation, supporting Walmart’s commitment to data-driven excellence and continuous improvement.
About the team:
The Customer Engagement Services Technology team develops advanced solutions impacting millions worldwide. Comprising software engineers, data scientists, and machine learning experts, the team focuses on innovative Generative AI applications within complex enterprise environments. As part of Walmart Global Tech’s Enterprise Business Systems, it collaborates closely with product, business, and UX partners to deliver measurable business value. Emphasizing scalable, secure, and maintainable software design, the team drives continuous improvement and operational excellence to support Walmart’s mission of helping customers save money and live better.
What you'll do:
- Analyze complex business problems using advanced data analytics and machine learning techniques to deliver actionable insights.
- Develop and implement predictive models and data-driven strategies aligned with business objectives to optimize outcomes.
- Design and deploy scalable data solutions, ensuring data quality, governance, and accessibility across platforms.
- Create compelling data visualizations and narratives to communicate findings effectively to stakeholders.
- Lead model validation, testing, and monitoring to ensure accuracy, robustness, and sustainability of analytical solutions.
- Collaborate cross-functionally to translate business requirements into technical strategies and measurable deliverables.
- Mentor team members on analytical best practices and emerging technologies to foster continuous improvement.
What you'll bring:
- Extensive experience in data analysis, machine learning, and predictive analytics to develop innovative solutions.
- Proficiency in advanced data visualization techniques and tools to communicate complex insights effectively.
- Strong understanding of business strategies and the ability to translate business requirements into data-driven initiatives.
- Expertise in analytical modeling, including model assessment, validation, deployment, and scaling.
- Skilled in coding languages such as Python, SQL, and R for data manipulation and model development.
- Ability to mentor teams and collaborate cross-functionally to drive impactful business outcomes.
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.
Bellevue, Washington US-11663: The annual salary range for this position is $156,000.00 - $312,000.00
Sunnyvale, California US-11349: The annual salary range for this position is $169,000.00 - $338,000.00 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 6 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 4 years' experience in an analytics related field. Option 3: 8 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.