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.
In this role, you will have the latitude to make technical decisions and lead the development of solutions while collaborating with stakeholders to drive actionable insights and measurable business outcomes.
This is a professional track role.
Our Flexible Future model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.
Responsibilities Acts as an individual contributor on project engagements, ensuring data science best practices are implemented in all workOwns and is accountable for model and code quality, including thorough documentation for project deliverablesDesigns and implements optimization models using linear or non-linear programming to solve complex supply chain challengesDevelops and applies operations research models for optimization, simulation, and decision support in supply chain, logistics, and other business areasCollaborates with stakeholders to understand business needs, translating them into analytical frameworks and integrating solutions into supply chain processesAnalyzes large datasets to identify opportunities for operational improvements and supply chain efficienciesCommunicates complex optimization concepts and results effectively to technical and non-technical stakeholdersWorks with data engineering teams to ensure models and solutions are scalable and integrate seamlessly with existing systemsStays abreast of the latest developments in data science, optimization, and related methodologies, ensuring the team leverages cutting-edge practices Minimum Qualifications 3-5 years of relevant experienceBachelor's DegreeStrong 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
Preferred Qualifications Master's Degree in Operations Research, Industrial Engineering, Data Science, or a related field with a 3.5 GPAHas 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
Minimum Years of Experience 3 Travel Requirements 10% Required Level of Education Bachelor's Degree Preferred Level of Education Master's Degree Major/Concentration Quantitative or Technical Degree Program Minimum GPA (4.0 Scale) 3.2 Submit Resume ApplyApplyShareRefer this job to a friendRefer Sorry the Share function is not working properly at this moment. Please refresh the page and try again later. Share on your newsfeed Interested in this opportunity?Chick-fil-A, Inc. is an equal opportunity employer that values diversity and inclusion. We make employment decisions on the basis of qualifications, merit and business need. Application FAQs