Senior Supply Chain Data Scientist

Senior. Supply Chain Data Scientist JOB SUMMARY The Senior Supply Chain Data Scientist is responsible for building and optimizing machine learning and statistical models that improve demand predictability, inventory decisions, and supply chain responsiveness. This position requires strong modeling and coding skills, and the ability to translate complex data into clear business insights that drive impact. Key Responsibilities • Develop and optimize machine learning and statistical models, including time-series forecasting and hyperparameter optimization, to improve demand forecast accuracy for operational use • Build robust data and ETL pipelines, develop data visualizations, and automate model training, deployment, and monitoring using MLOps practices to deliver reliable, scalable forecasts and actionable supply chain insights • Collaborate with business stakeholders to understand their challenges and translate complex analytical results into actionable recommendations • Understand supply chain processes and build AI agent pipelines to automate routine workflows and support faster, more effective decision-making Required Qualifications • Bachelor's degree in computer science, Computer Engineering, Data Science, Statistics or relevant technical field with 5+ years of related work experience OR Master's degree in field with 3+ years of related work experience OR Doctoral degree in field with 0-2 years of work experience • Strong hands-on proficiency in Python and SQL, with solid expertise in machine learning and deep learning • Experience with ETL and data engineering, statistics, time-series forecasting, feature engineering, hyperparameter optimization, and model validation • Ability to communicate analytical results clearly to both technical and non-technical audiences, and to continuously improve solutions based on feedback Preferred Qualifications • Supply chain optimization - inventory, transportation, sourcing, distribution, fulfillment, planning, etc. • Writing high-performance code and deploying algorithms in a production environment • Building AI pipelines for operational use