Overview

We are seeking a candidate who thrives on solving complex problems, is passionate about creating impactful change, and brings a strong foundation in operations research and data science. This is a professional track role offering the opportunity to lead innovative projects and contribute to the success of our business through advanced analytics and optimization.

As a Lead Data Scientist, you will drive impactful project work as part of Chick-fil-A's supply chain data & analytics team. You will lead projects that involve designing, developing, and implementing solutions for complex supply chain, logistics, or business challenges. You will leverage pre-defined analytics infrastructure and patterns but will also innovate to solve unique, complex problems. Your ability to understand and quickly learn new subject matter will be key to your success.

• Acts as an individual contributor on project engagements, ensuring data science best practices are implemented in all work
• Owns and is accountable for model and code quality, including thorough documentation for project deliverables
• Designs and implements optimization models using linear or non-linear programming to solve complex supply chain challenges
• Develops and applies operations research models for optimization, simulation, and decision support in supply chain, logistics, and other business areas
• Collaborates with stakeholders to understand business needs, translating them into analytical frameworks and integrating solutions into supply chain processes
• Analyzes large datasets to identify opportunities for operational improvements and supply chain efficiencies
• Communicates complex optimization concepts and results effectively to technical and non-technical stakeholders
• Works with data engineering teams to ensure models and solutions are scalable and integrate seamlessly with existing systems
• Stays abreast of the latest developments in data science, optimization, and related methodologies, ensuring the team leverages cutting-edge practices

• 3-5 years of relevant experience
• Bachelor's Degree
• Strong analytical and research skills with a focus on operations research, optimization, or decision science
  
• Hands-on experience with optimization techniques (e.g., linear programming, mixed-integer programming) and simulation modeling
  
• Solid understanding of statistics, probability, and applied mathematics
  
• Proficiency in Python (including optimization libraries such as PuLP or Pyomo) and SQL; familiarity with R is a plus
  
• Strong systems thinking and process design skills with an eye for detail
  
• Excellent problem-solving abilities and the ability to work independently or as part of a collaborative team
  
• Demonstrated ability to learn quickly and adapt to new challenges
  

• Master's Degree in Operations Research, Industrial Engineering, Data Science, or a related field with a 3.5 GPA
• Has experience using AWS and/or Databricks for modeling
  
• Has experience using Github or similar version control system for managing code
  
• Has experience in optimization using open source packages, Gurobi, or similar software
  
• Has some experience in simulation using Anylogic or similar software