Data Scientist I (Prescriptive AI)

Dillards • Little Rock, AR

1d • Onsite

About The Position

Are you driven to create mathematical models that move business forward? Are you excited to see a Fortune 500 company utilize your models? If so, we may have the ideal opportunity for you! Dillard’s is seeking a Data Scientist I in Prescriptive AI to join our team in Little Rock, AR. As a Data Scientist I, you will contribute to business improvements by helping to make data-driven, optimal decisions. To be successful in this role, you must be able to work efficiently on your own as well as part of a team. As a Data Scientist I in Prescriptive AI, you will be a part of a team that collaborates with many areas of the business is to develop and implement decision models to make Dillard’s more profitable and efficient. This role reports to the Manager of the Predictive/Prescriptive AI. This is an excellent opportunity to work with an exceptional team of Operations Researchers and Data Scientists. This role provides cross--training and experience in different fields of AI, including Gen AI.

Requirements

• BS in Operations Research, Industrial Engineering, Applied Mathematics/Statistics, Computer Science, or a related field, or exposed to mathematics/statistics-related courses/topics
• Beginner to intermediate experience in SQL
• Beginner to intermediate experience in Python
• Exposed to the projects/concepts that include mathematical/statistical concepts
• Creativity, innovation, and idea generation
• Clear, concise communication with professional presentation design and delivery
• Ability to work onsite at Corporate Headquarters in Little Rock, AR, during established hours
• Authorization to work in the United States without sponsorship

Nice To Haves

• Experience in developing operations research (optimization) models
• Experience in supply chain and/or retail
• Experience using Gurobi and/or CPLEX Optimizer
• Experience with discrete event simulation

Responsibilities

• Learn and maintain current applications and models in production
• Make necessary adjustments to the models, test them, and deploy them in production while keeping feedback from various business units
• Develop mathematical models using optimization techniques and implement them in Python, test your scripts in the development environment, and deploy them in production

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level