Job Description

Provide Thought Leadership & Drive Change

• Deliver data-driven insights through advanced algorithms and statistical models aligned with Supply Chain strategy, maximizing profitability and minimizing costs.
• Collaborate with leadership to effectively solve problems, assess results, and communicate actionable recommendations.
• Build relationships with cross-functional teams to drive progress and adoption of Data Science projects.
• Execute discovery sprints and deep EDA to convert anecdotes into testable hypotheses, KPIs, and use cases across supply chain functions.
• Define and track operational KPIs with model health to tie analytics to service, cost, safety, and cash.
• Translate complex analyses into simple narratives and decision memos leaders can act on, linking findings to economics and operational playbooks.

Advanced Modeling and Analysis

• Identify and prioritize projects with the most significant returns and develop advanced mathematical and statistical models.
• Design optimization/ML/simulation models and package them to drive day-to-day operations and decisions with clear recommendations and "what-if" scenarios.
• Create high-quality features and datasets with lineage and quality checks; stand up lightweight feature stores and reusable "EDA fact packs" to accelerate future work.
• Develop, maintain, and optimize models in cloud environments, ensuring business teams can leverage insights with actionable recommendations.
• Collect, cleanse, transform, and curate structured and unstructured data into usable formats for research and analysis.
• Utilize tools like SQL and data APIs to manage data in various storage environments, ensuring privacy and confidentiality.

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