remote
Director, Data Science - Global Supply Chain Analytics
Data Scientist
Lead a global supply chain analytics team, designing and deploying advanced demand‑forecasting models using C#, causal inference techniques, and scalable cloud‑based distributed computing solutions.
About the role
Key Responsibilities
- Define and execute the data science strategy for global supply chain analytics, focusing on demand forecasting and inventory optimization.
- Architect, develop, and maintain scalable C# applications that run on cloud platforms and leverage distributed computing frameworks.
- Apply causal inference methods to uncover drivers of demand variability and support strategic decision‑making.
- Collaborate with cross‑functional stakeholders—including logistics, procurement, and IT—to translate business problems into analytical solutions.
- Mentor and grow a high‑performing team of data scientists, engineers, and analysts.
Requirements
- 10+ years of experience in data science or analytics, with a proven track record in supply chain or demand‑forecasting projects.
- Strong proficiency in C# and experience building production‑grade models on cloud platforms (e.g., AWS, Azure, GCP).
- Deep knowledge of causal inference techniques and their practical application to business problems.
- Hands‑on expertise with distributed computing technologies such as Spark, Hadoop, or Kubernetes.
- Excellent leadership, communication, and stakeholder‑management skills.