Overview
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.
As a Sr Lead Data Scientist, you will be responsible for leading technically complex role-specific project work as a part of a larger cross-functional team in support of one or more lines of business. Sr Lead Data Scientists typically analyze data and develop or apply statistical methods, machine learning models, optimization, simulation, algorithms, and infrastructure on projects that are technically complex, requiring a working knowledge of components of machine learning and statistical model development, algorithm design, and compute architecture. They must be able to quickly develop mastery of new subject-matter across any line of business for which they have responsibility.
Our Sr Lead Data Scientists typically work with wide latitude for action or decisions on outcomes for projects that are typically more complex or cross-functional in nature. Successful candidates for this role must have strong analytical and research skills, a strong understanding of statistics and statistical modeling, a working understanding of modern machine learning and its mathematical underpinnings, and they must have strong 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:
Leads the development and implementation of predictive and prescriptive analytics models for supply chain forecasting
Collaborates with cross-functional teams to understand business needs and integrate forecasting solutions into supply chain processes
Analyzes large datasets to identify trends, patterns, and insights relevant to supply chain management
Implements machine learning and statistical methods to improve forecast accuracy
Provides thought leadership in the use of data science to solve complex supply chain challenges
Presents complex data insights in a clear and impactful manner to stakeholders and leadership
Stays up-to-date with the latest technologies and trends in data science and forecasting
Minimum Qualifications
5+ years
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 a deep understanding of modern machine learning, optimization, and simulation
Has strong 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 Data Science, Statistics, Operations Research, or a related field with a minimum
Has some experience using the AWS big data technology stack
Has some experience developing production ready machine learning or advanced statistical models
Has experience in both time-series and machine learning forecasting
Proven track record of developing and implementing successful forecasting models in a business environment
Excellent communication and leadership skills, with the ability to mentor junior data scientists
Ability to work collaboratively in a team environment and manage multiple projects simultaneously
Minimum Years of Experience
5
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 ID2024-16154
Job FunctionSupply Chain
Position TypeExperienced Professionals
Posting Location : LocationUS-GA-Atlanta