Supply Chain Data Science Manager

Your responsibilities will include Define the Roadmap: Define and execute the advanced analytics strategy, shifting the organization toward predictive and prescriptive solutions (e.g., safety stock optimization, forecasting, network design). Team Development: Lead, mentor, and grow a team of Data Analysts, fostering a culture of technical excellence that drives tangible business impact. Project Delivery: Manage the intake, prioritization, and execution of data science initiatives. Ensure resources are aligned with high-ROI projects and drive them from conception to deployment. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field 5+ years of total experience in data analytics, data science, or data engineering. 2+ years of experience leading people or managing complex technical projects. Strong proficiency in SQL for complex data extraction and manipulation. Strong proficiency in Python for statistical modeling and machine learning. Advanced Education: Master's degree in Engineering, Data Analytics, Statistics, or Computer Science. Cloud & ERP Experience: Proficiency with GCP (BigQuery, Vertex AI) and SAP HANA. Domain Expertise: 3+ years of experience in Supply Chain Operations (Production Planning, Inventory Optimization, Demand Planning, or Logistics). Modern Data Stack: Proficiency with Alteryx and SAP HANA Studio for ETL, and experience utilizing LLMs (e.g., Gemini) for business automation. Communication: Demonstrated ability to bridge the gap between technical data science and non-technical business stakeholders. Soft Skills: Strong analytical, problem-solving, and communication skills across all levels of the organization.