Junior Data Analytics (Supply Planning) - #1133468

About the role - you will:

As a Data Scientist II, you will contribute to the development and deployment of AI/ML solutions that enhance supply planning performance. You’ll 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. This role is ideal for mid-level professionals with strong technical foundations and a passion for solving complex supply chain problems.

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.

• 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.

About you:

• 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.

• Strong communication skills and ability to work effectively in cross-regional teams.

• Demonstrate integrity, accountability, and a commitment to continuous learning.

• Foster a collaborative environment, encouraging open communication and knowledge sharing across teams.

• Embrace asynchronous communication and global collaboration best practices to ensure effective teamwork across time zones.

• Champion diversity, inclusion, and respect within the workplace.

Your experience includes:

• 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.