Junior Operations Research Scientist

Dillards

Little Rock, AR

Expired: April 29, 2024 Applications are no longer accepted.

Full-Time

THE OPPORTUNITY

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 an Operations Research Scientist to join our team in Little Rock, AR. As an Operations Research Scientist, 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.

THE TEAM

As an Operations Research Scientist, you will be a part of a team that collaborates with many areas of the business to develop and implement decision models to make Dillard's more profitable and efficient. This role reports to the Manager of the Supply Chain Data Science and Operations Research Team. This is a great opportunity to work with a truly exceptional team of Operations Researchers and Data Scientists. This role provides cross-training and experience in Data Science.

WHAT YOU WILL DO

Develop mathematical models using optimization techniques, implement them in Python, test your scripts in the development environment, and deploy them in production
Make necessary adjustments to the models, test them, and deploy them in production while keeping feedback from various business units that use the team's allocation models in mind

THE MUST-HAVES

MS/BS in Operations Research, Industrial Engineering, Applied Mathematics, Applied Statistics, or related field. Candidates with only a BS degree must have a strong propensity in Mathematics and related experience
Beginner to intermediate experience in SQL
Beginner to intermediate experience in Python
Beginner knowledge in building various optimization models
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

THE NICE-TO-HAVES

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

WITHIN 1 MONTH, YOU'LL

Be comfortable with Dillard's AI Cluster in developing, running, and scheduling spark and non-spark Python scripts
Be comfortable with Data Warehouses Teradata and DB2
Be comfortable with basic GitLab commands
Be comfortable with basic Linux commands (survival guide)
Be able to create simple Python packages (creating wheel files)
Be able to write Python scripts to pull and push data from and to data warehouses
Be able to write Python scripts to run simple optimization models
Have a good understanding of (non-optimization models) scheduled jobs

WITHIN 2 MONTHS, YOU'LL

Have a good understanding of demand forecasts and how they are done at a high level from Supply chain data science team
Have a good understanding of the needs of the Supply Chain Analytics team (SCA)
Have a good understanding of basic replenishment rules
Have a good understanding of the structure of internally developed Python package of allocation models
Have a good understanding of one of the most frequently used allocation models
Be exposed to other allocation models
Be able to create branches in GitLab to test your changes to the existing allocation models

WITHIN 3 MONTHS, YOU'LL

Have mastered all allocation models
Be able to answer SCA requests and troubleshoot the allocation models with quick turn-around times
Be able to collaborate with the team on a new project
Be able to develop some ideas for improvement in Supply Chain operations