(usa) Senior Manager, Data Science, Perishable First Mile

Walmart Walmart · Retail · Bentonville, AR

Senior Manager, Data Science role focused on transforming Walmart's omnichannel supply chain strategy using advanced analytics, AI, and optimization techniques. The role involves managing projects from start to finish, building scalable models, identifying opportunities for improvement, and leading pilot implementations. The team has a strong track record in supply chain innovation and has won prestigious awards.

What you'd actually do

  1. Manage and execute entire projects from start to finish, including cross-functional project management, data collection and manipulation, analysis and modeling, and the communication of insights and recommendations.
  2. Build scalable and complex supply chain models and processes to optimize supply chain strategies with the goal of delivering an excellent customer experience while balancing operating cost and asset efficiency.
  3. Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain, utilizing AI and methods such as statistical analysis, regression modeling, and optimization.
  4. Identify areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement.
  5. Lead implementation of pilots to demonstrate business impact.

Skills

Required

  • supply chain strategy and optimization
  • advanced analytics
  • cross-functional project management
  • data collection and manipulation
  • analysis and modeling
  • communication of insights and recommendations
  • statistical analysis
  • regression modeling
  • optimization

Nice to have

  • MBA, MS, or PhD in Operations Research, Industrial Engineering, Operations Management, or Supply Chain Management
  • large dataset mining tools
  • open-source programming tools (e.g., SQL, R, Python, HiveQL, Spark)
  • network modeling tools (e.g., Llamasoft Supply Chain Guru)
  • network optimization
  • long-range planning
  • distribution/transportation
  • sourcing
  • planning
  • manufacturing
  • inventory management
  • Retail industry experience

What the JD emphasized

  • AI and methods such as statistical analysis, regression modeling, and optimization
  • classical machine learning, deep learning, reinforcement learning, causal inference, and statistics

Other signals

  • supply chain optimization
  • AI and methods such as statistical analysis, regression modeling, and optimization
  • classical machine learning, deep learning, reinforcement learning, causal inference, and statistics