Overview

　　As a Sr. Lead Data Scientist, you will be responsible for leading and executing technically complex data science project work in support of many products within Field Operations analytics portfolios. The person in this role will work as part of a larger, cross-functional, full-stack execution team charged with designing, building, and deploying analytics products within the Field Operations analytics portfolio under the stewardship of the ED&A Service team within Enterprise Data & Analytics (ED&A).

　　The Sr. Lead Data Scientist will leverage very strong exploratory data analysis skills to analyze and integrate a wide range of data in preparation for then applying or developing any needed methods, models, algorithms, and/or simulations to technically complex business problems. They may work under the direction of a more senior data scientist if they are asked to take on the most complex data science work. They must be able to quickly learn new subject-matter in support of a specific project or task. They will also typically be expected to develop increased proficiency in a skill specialization in one of several data science sub-disciplines (like causal inference, forecasting, simulation, optimization, machine learning, or deep learning). Our Sr. Lead Data Scientists typically work with more decision-making latitude for action or decisions on specific projects, solutions, or technical issues related to their work. They may lead the work of more junior data scientists and of 3rd party contingent or contract resources.

　　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 and with R 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.

　　Our Flexible Future model offers a healthy mix of working in person and remotely, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community.

　　Responsibilities

　　Analyze data and apply or develop any needed methods, models, algorithms, and/or simulations to solve complex business or technical problems. Will work under the direction of more senior data scientists if asked to take on the most complex data science work.

　　Ability to function across a wide range of data science specializations including statistical sampling, forecasting, simulation, lift analysis, causal modeling, optimization, and/or machine learning.

　　Works as a part of a virtual full-stack execution team comprised of a Portfolio Lead, Data Engineers, and Data Scientists from ED&A, all in support of Field Operations Data and Analytics priorities.

　　Works closely with Data Engineers to define data requirements, evaluate source data quality, determine needed data transformations, execute candidate feature engineering, and select features for inclusion in candidate models.

　　May leverage the Model Ops toolchain to develop models for production by Deployment Engineers.

　　Works closely with Field Operations Client Lead to support the Lead's work to communicate with, coordinate with, and train users and stakeholders about the analytics products on which they work and maintain.

　　Responsible for working with the execution team to ensure that their work effectively manages any ethical or policy concerns identified for the products they build during the design phase and for making the team aware should any new concerns be discovered during the development or deployment phases of the work.

　　Manages any needed maintenance, retraining, or quality control on models they have built which are actively in production.

　　Owns and is accountable for model and code quality and documentation for the project work they execute.

　　May lead the work of more junior data scientists and of 3rd party contingent or contract resources.

　　Minimum Qualifications

　　Strong analytics and research skills

　　Ability to move quickly and balance multiple simultaneous projects

　　Very strong exploratory data analysis (EDA) skills

　　Strong understanding of statistics and statistical modeling

　　Working understanding of the modern machine learning and its mathematical underpinnings

　　Strong programming skills in SQL, and in R or Python

　　Partners well within a cross-functional team

　　Strong written and verbal communication skills

　　Fast learner and problem solver

　　Keen eye for system thinking and process design, especially with respect to scalability and automation

　　Keen eye for detail and thoughtful investigation of data

　　Preferred Qualifications

　　Some experience using the AWS big data technology stack

　　Some experience developing machine learning or advanced statistical models

　　Some demonstrated proficiency in a sub-discipline of data science, like causal inference, forecasting, simulation, optimization, machine learning, or deep learning

　　Some experience with Model Operations tools and processes

　　Experience with User Experience (UX) Design in the context of user model interaction and/or advanced business intelligence interactions

　　8+ years’ experience

　　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

　　Requisition ID2023-15685

　　Job FunctionEnterprise Viability

　　Position TypeExperienced Professionals

　　Posting Location : LocationUS-GA-Atlanta