We're looking for a Staff Data Scientist to lead and create initiatives for future strategies across Walmart's omnichannel supply chain. This is a high-impact, high-visibility role within the organization with expectations to deliver immediate results. In this role, you'll primarily be responsible for creating a long-term strategy and transformative path for Walmart's rapidly growing omnichannel business.
Responsibilities
- 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
- 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
- Demonstrate a high degree of originality and creativity when developing solutions to improve existing business processes within supply chain, utilizing methods such as statistical analysis, regression modeling, and optimization
- Identify areas of opportunity and influence execution of results via cross-functional participation to enable quick wins and continuous improvement
- Lead implementation of pilots to demonstrate business impact
- Create and deploy robust metrics and dashboards to enable tangible transformation
You will thrive in this role if you:
- Enjoy working independently to manage multiple projects while ensuring deadlines are met and data output is accurate and appropriate for the business
- Easily navigate ambiguity and can make independent decisions about what data and approach is best for the task at hand
- Excel in communicating with individuals and groups at all levels of an organization
Potential projects include:
- Create models to analyze the Supply Chain network needed to support future sales growth with scenario modeling capabilities to understand the sensitivity to multiple variables; opening, closing, or repurposing distribution centers; conduct scenario analysis to evaluate multiple networks designs and impact to customer experience and cost to serve
- Develop optimization logic and a tool to determine truckload lane strategy for outbound transportation, balancing cost and SLA requirements
Preferred Qualifications
- MBA, MS, or PhD in Operations Research, Industrial Engineering, Operations Management, or Supply Chain Management
- Experience with large dataset mining tools and open-source programming tools (e.g., R, Python, HiveQL, Spark)
- Experience with network modeling tools (e.g., Llamasoft Supply Chain Guru), network optimization, and long-range planning
- Extensive experience or knowledge of supply chain domains and related information systems - distribution/transportation, sourcing, planning, manufacturing, and inventory management
- Retail industry experience
PLEASE CONTACT IF YOU ARE INTERESTED