Data Scientist, Operations Research

What you'll do

• Define business problems by listening to clients and asking clarifying questions.
• Perform exploratory analysis to identify root causes and test hypotheses.
• Develop predictive models to forecast future volumes and resource needs.
• Build optimization and simulation models to recommend capacity and policy changes.
• Create customer and product segmentation models to design differentiated supply chain services.
• Develop prescriptive models using third-party software and custom-built tools.
• Summarize the financial and operational impacts of recommended solutions and alternatives.
• Work with Data Engineers to create data models for various analyses.

What we're looking for

• 2-4 years of experience.
• Bachelor's degree in a quantitative field, or equivalent work experience (preferred).
• MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics (preferred).
• Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems (preferred).
• Experience with Structured Query Language (SQL) and working with databases (preferred).
• Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS (preferred).
• Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software (preferred).
• Excellent communication skills with an ability to explain quantitative analysis in simple business terms.