Data Scientist

Role Overview

The SCOT's RoW Regional team is seeking an experienced Data Scientist to help optimize, enhance, and scale Supply Chain decision algorithms in countries beyond US/EU. The focus will be on enhancing and also building new solutions solving for forecasting, buying, placement and inventory health management issues.

Key Responsibilities

• You will work closely with Product Managers Tech, BIEs, SDEs, Supply Chain Managers, and other Scientists across US and EU to build scalable, high insight- high impact products and own improvements to business outcomes within your area, enabling execution of WW and local solutions for next generation Supply Chain systems.
• You will leverage your expertise in modeling, maths, algorithms and more importantly AI to analyze diverse and large datasets to uncover insights and build working models that help minimize dependence on manual supply chain decisions.
• Areas of work would include: 1) Building OR, RL, Agentic AI based models for automated supply chain optimization decisions; integrating with the central tech solutions owned by SCOT WW, 2) Creating decision frameworks to choose between multiple models to solve for a given supply chain problem, 3) Build visibility, audit and decision frameworks that help operate complex and nuanced supply chains across countries.

Key Requirements

• Researching, experimenting and analyzing predictive and optimization models.
• Framing business problems into scalable solutions.
• Gathering data required for analysis and model building using Python or R.
• Collaborating with product and engineering teams to design rigorous experiments to evaluate the impact of new features or algorithms.
• Creating, enhancing, and maintaining technical documentation.