(USA) Senior Manager, Data Science

Role summary

The Senior Manager, Data Science leads advanced analytical initiatives to drive business impact through innovative modeling, validation, and data visualization techniques. This role oversees the development and deployment of scalable machine learning solutions, ensuring alignment with strategic objectives. Collaborating across functions, the position translates complex data into actionable insights, guiding decision‑making and mentoring team members. The role demands expertise in statistical methods, programming, and business context to deliver robust, data‑driven solutions that enhance operational efficiency and support Walmart’s commitment to excellence and continuous improvement.

About the team

The team leverages advanced analytical and modeling techniques to address complex business challenges. Utilizing Python, SQL, and machine learning frameworks, members focus on model assessment, validation, and deployment. They collaborate closely with business stakeholders to translate requirements into actionable insights and data‑driven solutions. Emphasizing rigorous statistical methods and clear data visualization, the team ensures effective communication of findings. Committed to continuous learning and innovation, they follow best practices and emerging technologies to deliver impactful results aligned with organizational goals.

Responsibilities

• Lead the development, assessment, and validation of advanced analytical models using best practices to ensure accuracy, robustness, and business relevance.
• Design and implement data visualization solutions that effectively communicate complex insights to stakeholders and support decision‑making.
• Collaborate with cross‑functional teams to translate business requirements into scalable data science projects aligned with strategic goals.
• Guide and mentor team members on advanced modeling techniques, feature engineering, and data storytelling.
• Oversee model deployment, monitoring, and continuous improvement to maintain performance at scale.
• Drive data source identification, quality assessment, and integration to support analytical initiatives.

Requirements

• Extensive experience in data science and advanced machine learning techniques, including model assessment, validation, and tuning.
• Proficiency in programming languages such as Python and SQL for data analysis, model development, and deployment.
• Strong expertise in data visualization tools and best practices to effectively communicate complex data insights.
• In‑depth understanding of business context across multiple domains to translate requirements into actionable data solutions.
• Proven leadership skills in mentoring and guiding teams on advanced modeling and feature engineering.
• Ability to develop scalable models and monitor performance in production environments.
• Solid knowledge of statistical methods, exploratory data analysis, and optimization techniques.

Minimum Qualifications

• Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or 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 related field and 3 years of experience in an analytics‑related field.
• 7 years of experience in an analytics or related field.

Preferred Qualifications

• Experience with data science, machine learning, and optimization models.
• 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.
• Proficiency with open‑source frameworks such as scikit‑learn, TensorFlow, or PyTorch.
• Knowledge of creating inclusive digital experiences and implementing WCAG 2.2 AA standards, assistive technologies, and accessibility best practices.

Benefits

• Competitive base pay with performance‑based bonus awards.
• Health coverage: medical, vision, and dental.
• Financial benefits: 401(k), stock purchase plan, company‑paid life insurance.
• Paid time off (PTO) including sick leave, parental leave, family care leave, bereavement, jury duty, and voting.
• Short‑term and long‑term disability.
• Company discounts and Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit: tuition, books, and fees fully paid for eligible associates.
• Additional PTO/PPTO that can be used for vacation, sick leave, holidays, or other purposes, with accrual based on job classification and length of employment.

Pay

Herndon, Virginia (US‑10710): $132,000 – $264,000 annual salary range.

Sunnyvale, California (US‑04397): $143,000 – $286,000 annual salary range.

Additional compensation includes annual or quarterly performance bonuses and, for certain positions, stock awards.

Location

2245 Monroe St, Herndon, VA 20171, United States.