Job Information
Chick-fil-A Lead Data Scientist in Atlanta, Georgia
Overview
As a Lead Data Scientist, you will be responsible for leading significant role-specific project work as a part of a larger cross-functional team in support of one or more lines of business. Lead Data Scientists typically leverage and implement pre-defined analytics patterns and infrastructure on projects that are moderately complex, requiring working knowledge of a more limited set of machine learning, optimization, simulation, or other advanced modeling approaches. They must be able to quickly learn new subject-matter in support of a specific project or task. Our Lead Data Scientists typically work with latitude for action or decisions on specific projects, solutions, or technical issues.
Successful candidates for this role must have strong analytical and research skills, a strong understanding of statistics and statistical modeling, a basic understanding of modern machine learning and its mathematical underpinnings, and they must have moderate programming skills with SQL, R and/or Python. They will need to be fast learners with a keen eye for detail, systems thinking, and process design. They must be team players who work steadfastly to create impactful change. This is a professional track role.
Responsibilities
The person who fills this role will be expected to do the following as a part of their regular work responsibilities:
Acts as an individual contributor on project engagements and is responsible for implementing data science best practice in their work
Owns and is accountable for model and code quality and documentation for the project work they execute
Designs and implements optimization models using linear or non-linear programming to solve complex supply chain challenges
Collaborates with stakeholders to understand business needs and integrate optimization solutions into supply chain processes
Analyzes large datasets to identify opportunities for supply chain improvement
Applies machine learning, statistical methods, and operations research techniques to optimize supply chain performance
Communicates complex optimization concepts and results to non-technical stakeholders
Stays abreast of the latest developments in data science and optimization methodologies
Minimum Qualifications
3-5+ years of relevant experience
Bachelor's Degree in a Quantitative or Technical Degree Program
Has strong analytical and research skills
Has a strong understanding of statistics and statistical modeling
Has an understanding of modern machine learning, simulation, and optimization underpinnings
Has moderate programming skills in SQL, R and/or Python
Has the skill to partner with cross-functional teams using strong written and verbal communication
Is a fast learner and a proven problem solver
Has a keen eye for system thinking and process design, especially with respect to scalability and automation
Has a keen eye for detail and thoughtful investigation of data
Has a steadfast focus on creating impactful change
Preferred Qualifications
Master's Degree in Operations Research, Industrial Engineering, Data Science, or a related field
3.2 GPA
Has some experience using AWS and/or Databricks for modeling
Has some experience using Github or similar version control system for managing code
Has some 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
Masters Degree
Major/Concentration
Quantitative or Technical Degree Program
Minimum GPA (4.0 Scale)
3.2
Requisition ID2024-16153
Job FunctionSupply Chain
Position TypeExperienced Professionals
Posting Location : LocationUS-GA-Atlanta