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