Principal Supply Chain Data Scientist

Collaborate & Strategize: Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.

Drive Supply Chain Innovation: Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.

Transform Data into Impact: Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.

Build & Scale Advanced Analytics Solutions: Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.

Enable Change & Adoption: Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.

Stay Ahead of the Curve: Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends.

Requirements:

• MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration
• Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
• 10+ years of experience

Key Skills:

• Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
• Applied experience with machine learning and optimization on large datasets
• Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
• Experience with GenAI
• Passion for data science & delivering data-driven outcomes
• Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return)
• Demonstrated practical experience in an operational environment
• Experience implementing and handing off operational analytical solutions to business users
• Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment
• Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence
• Experience with data visualization and data presentation in a clear and effective manner
• Experience leading, collaborating with, and delivering results in cross-functional teams
• Familiarity with statistics, forecasting, simulation, and spreadsheet modelling