Senior Lead Data Scientist managing a data science team focused on pricing models in Business Insurance. Driving success through scope definition, mentorship, and collaboration with various teams.
About the role
- Data Scientist II enhancing supply planning performance at Seagate through AI/ML solutions. Collaborating across regions to translate business challenges into data science problems and deliver actionable insights.
Responsibilities
- Contribute to the development and deployment of AI/ML solutions that enhance supply planning performance.
- Work closely with cross-functional teams in Singapore, Thailand, China and the US to translate business challenges into data science problems, build predictive models, and deliver actionable insights.
- 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.
- Document methodologies, validate model performance, and iterate based on planner feedback.
- Contribute to Seagate’s AI Hub by sharing reusable components and insights.
- Participate in global collaboration with US-based teams, maintaining effective communication across time zones.
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.
- 3 years of experience in data science, analytics, or supply chain modeling.
- Experience working with cloud platforms (e.g., AWS, Azure) and data pipeline tools is a plus.
Benefits
- Competitive salary
- Professional development opportunities
Job title
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