(USA) Senior Manager, Data Science

About the role

The Senior Manager, Data Science leads advanced analytical initiatives to develop, validate, and deploy robust predictive 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 collaborating with cross-functional teams to align data solutions with business objectives, mentoring associates, and ensuring the continuous improvement of data science practices. The ideal candidate demonstrates strong technical proficiency, business acumen, and effective communication skills to influence stakeholders and support Walmart’s commitment to innovation and operational excellence.

About the team

The Walmart/VIZIO Data Science team provides the analytical foundation for product decisions by leveraging experimentation and causal measurement. The team collaborates across functions to identify key drivers of user engagement and business value, guiding strategic investments and development priorities. Utilizing advanced data science, machine learning, and visualization techniques, the team delivers actionable insights that influence business outcomes. Members apply rigorous analytical methods and domain knowledge to solve complex problems, support model development, and communicate findings effectively to stakeholders, fostering data-driven decision-making throughout the organization.

Responsibilities

• Lead the development, assessment, and validation of advanced data science models using best practices for accuracy, robustness, and scalability.
• Design and implement data visualization solutions to effectively communicate complex insights to business 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 advanced modeling techniques, feature engineering, and experimentation frameworks.
• Oversee deployment and continuous monitoring of models in production environments to ensure optimal performance.
• Drive data source identification, quality assessment, and integration to support analytical initiatives.
• Foster a culture of continuous improvement by leveraging emerging machine learning and AI methodologies.

Requirements

• Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 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 3 years’ experience in an analytics-related field.
• Option 3: 7 years’ experience in an analytics or related field.

Qualifications

• 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 including ROC curve and root mean square error.
• Ability to translate complex business requirements into data-driven solutions and actionable insights.
• Expertise in designing experiments, causal inference, and decision science to support business strategies.
• Proven leadership skills with experience mentoring and guiding technical teams.
• Excellent communication skills to present data findings effectively to diverse stakeholders.

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, PyTorch).
• Knowledge of Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility.

Benefits

• Health benefits: medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Other benefits: short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement.
• Live Better U: Walmart-paid education benefit program covering high school completion through bachelor’s degrees, including English Language Learning and short-form certificates; tuition, books, and fees are completely paid for by Walmart.

Pay

Denver, Colorado: annual salary range $121,000.00 – $242,000.00

New York, New York: annual salary range $132,000.00 – $264,000.00

Additional compensation includes annual or quarterly performance bonuses and may include stock.