Senior Manager I, Data Science

Key Skills

Apache Hive, Python Programming, Spark-SQL

Job Description

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.

• 6 - 8 years of supply chain optimization models.

• 2 - 4 years of supervisory experience.

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 Inventory Planning and Distribution strategy to optimize cost to serve and improve customer experience and stock availability with a tiered storage network and dynamic real-time distribution network.

• 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