(USA) Senior Manager, Data Science

Walmart•Bentonville, AR

About The Position

As a Senior Manager, Data Science, you will lead advanced analytical initiatives to develop, validate, and deploy robust machine learning models that support strategic business decisions. The role uses statistical modeling, data visualization, and programming to turn complex data into actionable insights. You will work cross-functionally to align data solutions with business objectives, mentor team members, and continuously improve data-driven processes. You will also support scalable model deployment and innovation to improve operational efficiency and deliver measurable business impact. The role is part of the Walmart+ Data Strategy & Analytics team, which uses analytics across acquisition, engagement, and benefit innovation to support membership growth. The team partners with business units on strategy and initiatives, from opportunity sizing and test design through post-launch evaluation, and emphasizes accountability, clear communication, and measurable results.

Requirements

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 methodologies.
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.
Demonstrated leadership in mentoring teams and guiding technical development with a focus on business impact.
Excellent communication skills to present insights and influence stakeholders effectively.
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; or a master’s degree in one of those fields and 3 years of analytics-related experience; or 7 years of experience in an analytics or related field.

Nice To Haves

Experience in data science, machine learning, or optimization models.
Ph.D. 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 creating inclusive digital experiences, implementing WCAG 2.2 AA standards, using assistive technologies, and integrating digital accessibility in line with Walmart accessibility standards and guidelines.

Responsibilities

Lead the assessment, validation, and tuning of advanced data science models to ensure accuracy, robustness, and business relevance.
Develop and implement data visualization strategies using tools such as Python libraries and Tableau to communicate insights effectively.
Collaborate with cross-functional teams to translate business requirements into scalable data science solutions aligned with organizational goals.
Guide and mentor team members on advanced modeling techniques, feature engineering, and data analysis best practices.
Oversee deployment and continuous monitoring of models in production environments to maintain performance and scalability.
Drive exploratory data analysis and statistical modeling to identify trends and support data-driven decision-making.

Benefits

Competitive pay and performance-based bonus awards.
Medical, vision, and dental coverage.
401(k), stock purchase, and company-paid life insurance.
Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty, and voting leave.
Short-term and long-term disability.
Company discounts.
Military Leave Pay.
Adoption and surrogacy expense reimbursement.
PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
Live Better U education benefit for eligible full-time and part-time associates, with tuition, books, and fees paid for eligible programs from high school completion through bachelor’s degrees, English Language Learning, and short-form certificates.