Supply Chain Data Scientist

Job Description

• Partner with stakeholders to understand complex business problems, define and champion robust analytical approaches, and effectively communicate insights and recommendations to technical and non-technical audiences.
• Design, develop, and lead the implementation of sophisticated mathematical, statistical, and machine learning models to address complex supply chain challenges, enabling advanced predictive insights and optimization.
• Write and review efficient, scalable, and maintainable code (e.g., Python, SQL, Cypher), promoting best practices in software development.
• Drive current tools use and implementation (Celonis - Supply Chain Guru), and deploy their full potential.
• Perform complex data extraction, cleansing, transformation, and innovative feature engineering to maximize model performance.
• Own and ensure the analytical integrity, robustness, scalability, and continuous improvement of deployed models.
• Develop, maintain, and set standards for comprehensive documentation related to models, analytical processes, and data sources.
• Drive adherence to and contribute to the refinement of data governance and security best practices.
• Lead and participate in team code/model reviews fostering a culture of technical excellence.
• Stay up to date with and actively contribute to the adoption of emerging technologies, algorithms, and methodologies in data science and supply chain management.