Data Scientist - Supply Chain Analytics

Position Overview: We are seeking a Data Scientist with deep supply chain domain expertise to design, build, and deploy advanced analytics and machine learning solutions. This role focuses on improving demand forecasting, inventory optimization, logistics efficiency, and overall end-to-end supply chain performance. You will collaborate closely with business, operations, and technology teams to turn complex data into actionable insights. Job Title: Data Scientist – Supply Chain Analytics Location: Remote Duration: 6-month contract Required Qualifications • Bachelor’s or Master’s degree in Data Science, Statistics, Industrial Engineering, Operations Research, Computer Science, or a related field. • 6–10 years of data science experience, including hands-on supply chain analytics. • Strong knowledge of: • Demand forecasting and time-series analysis • Inventory management concepts (EOQ, safety stock, service levels) • Supply chain KPIs and metrics • Proficiency in: • Python (pandas, NumPy, scikit-learn, statsmodels) • SQL • Experience working with real-world, noisy operational data. Preferred / Nice-to-Have • Experience with optimization techniques (linear programming, heuristics). • Familiarity with cloud platforms (AWS, Azure, or GCP). • Experience with BI tools (Power BI, Tableau, Looker). • Exposure to supply chain systems (SAP, Oracle, Kinaxis, Blue Yonder). • Knowledge of MLOps practices and model lifecycle management.