Junior Operations Research Scientist

3 weeks ago

Little Rock, United States Dillards Full time
Job DescriptionJob Description

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

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