Principal Data Scientist - 11771
Core
Define and drive the long-term technical roadmap for applied Machine Learning within the Supply Chain and Sourcing domains, building hybrid ML/OR systems that feed into downstream optimization algorithms.
Role type
Principal Data Scientist (Supply Chain & Sourcing)
Builds
Predictive models (demand forecasting, lead-time estimation, supplier risk scoring) and scalable ML infrastructure for a multi-tenant SaaS environment.
Domain
Supply Chain Management, Logistics, Demand Planning, Strategic Sourcing
Deliverable
production ML models
Required skills
Predictive modeling, time-series forecasting, statistical analysis, Python, SQL, Scikit-Learn, TensorFlow, PyTorch, XGBoost, MLOps, system architecture
Preferred skills
Operations Research (Linear Programming, Heuristics), Big Data (Hadoop/Spark, PySpark, Databricks), Cloud-native ML (AWS SageMaker, Bedrock, Docker, Kubernetes), LLMs and Generative AI
Responsibilities
Define long-term ML technical roadmap; Design and build robust predictive models as inputs for optimization algorithms; Research, prototype, and deploy state-of-the-art ML models; Architect scalable data pipelines and ML infrastructure; Mentor the Data Science team; Translate ambiguous business problems into structured data science projects.
Seniority
Principal, strategy & mentorship
