About the role
AI summarisedJunior Data Scientist (Supply Planning) role at Seagate in Singapore, SG.
IndustrialOnsiteEngineering
Key Responsibilities
- Develop and validate predictive models and optimization algorithms to support supply-demand alignment, inventory management, and planning cycle improvements.
- Build scenario planning tools and simulations to evaluate planning decisions under uncertainty.
- Conduct exploratory data analysis and feature engineering using large-scale supply chain datasets.
- Collaborate with planning, engineering, and IT teams to integrate models into enterprise systems and ensure usability by planners.
Requirements
- Bachelor’s degree or higher in Data Science, Statistics, Computer Engineering, Supply Chain Management, or a related field.
- Proficiency in Python and SQL; experience with machine learning libraries (e.g., Pandas, Scikit-learn, TensorFlow) and data visualization tools (e.g., Tableau).
- Solid understanding of statistical modeling, forecasting, and optimization techniques.
- Familiarity with supply chain concepts such as demand planning, inventory optimization, and logistics.