Applied Science Manager, JCI Measurement and Optimization Science Team

We are seeking an Applied Science Manager to lead the Cost-to-Serve science team within JCI MOST (Measurement and Optimization Science Team). This team builds the causal models optimization systems and AI-driven analytics that power Amazon Japans CtS program identifying where cost saving opportunities exist across the supply chain explaining why they exist and quantifying their dollar impact.

You will manage a team of applied scientists economists and data scientists working across causal inference consolidation optimization supply chain forecasting and GenAI-powered analytics. Your teams work directly shapes how VP-level leadership makes investment decisions across CtS levers in Amazon Japan.

Key Responsibilities

-Lead and grow a team of scientists delivering causal models optimization engines and AI-driven insights for supply chain cost reduction
-Set the science roadmap and prioritize across workstreams: causal attribution financial simulation forecasting and GenAI agent development
-Partner with product engineering operations and finance to translate science into operational impact
-Drive the integration of science models into AI tools making causal reasoning accessible to non-technical stakeholders at scale
-Represent CtS science to VP-level leadership through MBR/QBR mechanisms and OP planning

- Knowledge of ML NLP Information Retrieval and Analytics
- Masters degree in econometrics statistics industrial engineering operations research optimization data mining analytics or equivalent quantitative field
- 3 years of building machine learning models or developing algorithms for business application experience

- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience communicating with users other technical teams and management to collect requirements describe software product features and technical designs

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