The Senior Manager, Data Science, leads advanced analytical initiatives by applying expertise in statistical modeling, machine learning, and data visualization to solve complex business challenges. This role involves guiding model development, validation, and deployment while collaborating with cross-functional teams to translate business needs into actionable insights. The position requires strong leadership in mentoring associates, driving data strategy execution, and delivering impactful solutions that support organizational goals. Proficiency in programming, analytical techniques, and effective communication is essential to influence stakeholders and foster continuous improvement within a dynamic environment.
About the team:
The Strategy & Science team within Last Mile Delivery at Walmart plays a vital role in enhancing delivery speed and efficiency while supporting rapid growth in eCommerce. This team develops sustainable strategies, advanced algorithms, and innovative product prototypes to improve driver experience, safety, and delivery capacity across various modes. The role focuses on van strategy complementing existing platforms, expanding delivery in dense urban markets, and introducing new categories like bulky items. Collaboration with internal parcel and fulfillment innovation teams drives development of future delivery modes, including autonomous vehicles, ensuring continuous advancement in last mile solutions.
What you'll do:
- Lead advanced analytical modeling efforts using machine learning, statistical methods, and optimization techniques to solve complex business problems.
- Oversee model assessment, validation, and tuning to ensure accuracy, robustness, and scalability across data sets.
- Design and implement data visualization strategies to effectively communicate insights and model outcomes to stakeholders.
- Collaborate with cross-functional teams to translate business requirements into actionable data science projects aligned with strategic goals.
- Guide and mentor team members on best practices in feature engineering, coding, testing, and deployment of data science solutions.
- Drive continuous improvement by integrating emerging technologies and methodologies to enhance model performance and business impact.
What you'll bring:
- Extensive experience in data science, including advanced statistical methods and machine learning techniques
- Proficiency in programming languages including Python and SQL for model development, testing, and deployment.
- Strong skills in data visualization using tools like Tableau and PowerBI to effectively communicate complex data insights.
- Ability to assess, validate, and tune models using metrics such as ROC curve and root mean square error.
- Expertise in translating business requirements into solutions aligned with strategic objectives.
- Proven leadership in mentoring teams and guiding advanced analytical modeling and feature engineering.
- Solid understanding of business domains and to develop actionable recommendations based on data analysis.
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.
Bentonville, Arkansas US-30005: The annual salary range for this position is $110,000.00 - $220,000.00
Sunnyvale, California US-11789: 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 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, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, 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, Information Technology, or a related field, plus 5 years of experience in an analytics-related field
- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field, plus 3 years of experience in an analytics-related field
- 7 years of experience in an analytics or related field
- Extensive experience in data science, advanced statistical methods, and machine learning techniques
- Proficiency in Python and SQL
- Strong data visualization skills using Tableau and Power BI
- Ability to assess, validate, and tune models using metrics such as ROC curve and root mean square error
- Expertise translating business requirements into strategically aligned solutions
- Leadership experience mentoring teams and guiding analytical modeling and feature engineering
- Data science, machine learning, and optimization modeling experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Supervisory experience
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
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.







