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.