Uses advanced experimental design, statistics, technologies, and (e.g., machine learning, natural language processing) to discover and understand data patterns and trends to generate actionable insights and solutions for client services, product enhancement, and business impact. Engages in training, deploying, and monitoring machine learning models, and in architecting solutions for the entire model lifecycle. Optimizes prompts. Summarizes and interprets data and analysis insights and findings to make recommendations to stakeholders. Implements Extract, Transform, Load (ETL) for data pipelines while ensuring data security and privacy. Develops efficient and scalable code and tests. Maintains familiarity with current developments in the data science field and integrates knowledge into model development.

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Principal Data Scientist – Supply Chain Operations