Data Scientist III, Supply Chain Optimization Technologies (SCOT), Inbound Planning Science

Key job responsibilities

• Design and develop mathematical models to optimize inventory placement and product flows.
• Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
• Manage several, high impact projects simultaneously.
• Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
• Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.
• Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world.

Basic Qualifications

• Bachelor's degree
• Experience with statistical models e.g. multinomial logistic regression
• Experience working as a Data Scientist
• Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)

Preferred Qualifications

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience managing data pipelines
• Experience as a leader and mentor on a data science team