The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust models that drive strategic business decisions. This role requires expertise in statistical modeling, machine learning, and data visualization to translate complex data into actionable insights. The position involves guiding teams in feature engineering, model tuning, and scalable deployment while collaborating with cross-functional partners to align solutions with business objectives. The role also emphasizes mentoring associates, ensuring adherence to best practices, and fostering continuous improvement to support Walmart’s commitment to innovation and operational excellence.
About the team:
Our team is committed to delivering fresh groceries nationwide at affordable prices by utilizing advanced data science and machine learning techniques. We develop robust analytical models, conduct thorough data validation, and create insightful visualizations to support informed business decisions. Collaborating across functions, the team applies expertise in Python, SQL, and data visualization tools to drive innovative solutions. Focused on continuous improvement and excellence, the team fosters a collaborative environment that encourages knowledge sharing and the application of best practices to effectively meet customer needs.
What you'll do:
- Lead the development, assessment, and validation of advanced analytical models, ensuring accuracy, robustness, and alignment with business objectives.
- Guide feature engineering, exploratory data analysis, and application of machine learning techniques to solve complex problems with structured and unstructured data.
- 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 scalable data science solutions.
- Oversee model deployment, monitoring, and continuous improvement in production environments.
- Mentor and develop team members, fostering technical expertise and best practices.
What you'll bring:
- Extensive experience in data science, machine learning, and advanced statistical modeling techniques.
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
- Strong knowledge of model assessment, validation, and tuning methods to ensure accuracy and robustness.
- Ability to translate complex business requirements into actionable data science solutions aligned with strategic goals.
- Expertise in exploratory data analysis, feature engineering, and deployment of scalable models in production environments.
- Proven leadership skills in mentoring and guiding teams on advanced analytics and modeling best practices.
- Effective communication skills to present insights and influence stakeholders using data-driven storytelling.
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 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...805 Respect, 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 and 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 and 3 years of experience in an analytics-related field
- 7 years of experience in an analytics or related field
- Experience in data science, machine learning, and advanced statistical modeling
- Proficiency in Python, SQL, and data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI
- Knowledge of model assessment, validation, and tuning methods
- Expertise in exploratory data analysis, feature engineering, and scalable model deployment
- Leadership experience mentoring and guiding teams
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of one or more 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.







