Senior Manager, Data Science

This role defines strategy, requirements, and delivers data products to drive data science initiatives for growth and efficiency. The position collaborates across various business functions to solve critical needs, evangelizes Machine Learning/AI, and introduces innovative data technologies.

The role leads the strategy and execution of Data Science, Data Products, and Research and Optimization functions, managing resource prioritization to maximize returns. It integrates data science capabilities with business needs to address tangible problems with measurable impact. Collaborating with senior stakeholders in Operations, Merchandising, Finance, Technology, and Marketing, the role identifies opportunities where Machine Learning, AI, or other data products can resolve issues, improve efficiency, or reduce costs.

As a subject matter expert in advanced analytical methods, the role may lead critical unit, sales, and channel forecasting, guiding budget planning both short-term and long-term. Additionally, the role builds and executes a long-term roadmap to elevate data science capabilities by researching, piloting, and introducing innovative data technologies and products. This role may also partner with Data Science leaders across the organization to share best practices, methods, and technologies, collaborating to advance the discipline. Leading a cross-functional team of experimentation, research, UX specialists, and other partners, the role envisions, builds, tests, and delivers impactful consumer experiences.

• 8+ years of experience working in analytical or data science function and directly influencing key business decisions and technology strategies
• Demonstrated experience of embedding Data Science or Analytical solutions into operational processes
• Background in software engineering is a plus
• Bachelors/Master’s in engineering, Computer Science, Applied Mathematics, Operations Research or related field, with focus on Business Management
• 2-4 years of direct people leadership experience
• Excellent analytical and data interpretation skills with natural curiosity and strong attention to detail
• Strong problem-solver, with ability to handle ambiguous and open-ended problems
• Expert at data and model management
• Extensive experience in building Logic/ML-based Predictive Models and Optimization Models
• Strong in scalable data manipulation technologies such as Spark, Pandas, Polars
• Strong Oral and Written communicator, able to convey complex ideas in simple terms
• Ability to prepare presentation content for diverse audience groups
• Strong ability to work cross-functionally, effectively gathering or giving feedback

• Technical Experience working with customer data platforms, event-level data, ML & feature engineering pipelines
• Highly proficient in writing/reviewing code written in SQL, Python, R, and leveraging machine learning frameworks & toolkits such as PyTorch, TensorFlow, Spark, or scikit-learn
• Working knowledge of Web Deployment frameworks such as Streamlit/R Shiny
• Experience using GCP
• Experience deploying ML models

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Age - 16 or older

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Walmart will accommodate the disability-related needs of applicants and associates as required by law.

1940 Argentia Rd, Mississauga, ON L5N 1P9, Canada

• Mid-Senior level

• Full-time

• Engineering and Information Technology

• Retail, Manufacturing, and Retail Groceries

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