Level: Manager
Experience: 3+ years
Role Overview:
The Data Scientist - CSSC partners with the Lead Data Scientist (CSSC) to develop and implement AI explorations selected through the AI Incubator process. This hands-on role focuses on delivering advanced data science solutions for the supply chain domain in manufacturing, including demand forecasting, inventory optimization, logistics analytics, and production scheduling.
Key Responsibilities:
- Collaborate with stakeholders to identify and prioritize supply chain-focused AI initiatives.
- Develop and implement machine learning models to optimize supply chain operations.
- Deliver projects using Agile methodologies, ensuring alignment with business needs.
- Provide technical guidance and mentorship to junior data scientists.
- Stay updated on advancements in supply chain analytics and AI technologies.
Qualifications:
- Master’s degree in Statistics, Computer Science, Machine Learning, or a related field; a PhD is preferred.
- Strong expertise in supply chain analytics, including demand forecasting and logistics optimization.
- Proficiency in Python, SQL, and cloud-based data platforms (e.g., Databricks, Azure).
- Experience in Agile project delivery within manufacturing or FMCG industries.
- Knowledge of advanced statistical techniques and machine learning frameworks.