Statistical Consultant, Operations

Chicago - downtown, IL 60601

Job ID: 2368 Job Category: Operations Research Industry: Annual Salary: up to $120K base salary

Our client is looking for sharp PhD candidates to join their distinguished organization. Located in Downtown Chicago, this world-renowned company is seeking an advanced Statistical Consultant. If you are looking for an analytics role that will make a direct impact on business decisions, look no further!

 

This role will help solve business problems from a statistical and operational perspective. The ideal candidate will be developing analytics that will drive critical financial, operational, and/or strategic decisions. Acting as an internal consultant, you will support the entire organization and be in a highly visible position!

 

Great role for an entry level  PhD candidate in Industrial/Operations Research or Statistics with 0-2 years experience. You will be doing cutting edge analytics and need to have a finger on the pulse of emerging trends within big data.

 

 

 

Requirements:
Experience with advanced statistical modeling - predictive modeling and linear programming highly desired.

Experience working with large data sets

Strong statistical skills are a must. We are looking for someone with experience in one of the following statistical tools – R, Python, and SAS.

Strong data visualization- Tableau preferred.

      Excellent communication skills. There will be communication with organization leaders. 

      PhD in Operations Research, Industrial Engineering or Statistics

      Machine learning experience a plus!

 

 

Salary, based on experience, up to $120K. Some relocation assistance available.
Applicants for this role must be a US Citizen or Green Card holder.

Apply now! Nothing beats Chicago in the summer.

Keywords: PhD, R, Python, SAS, Tableau, linear programming, operations research



Naomi Keller
Executive Recruiter

Naomi currently helps to lead Burtch Works' data science practice. She brings a wealth of experience from her time in the market research and analytics industry, as well as talent and technology experience from LinkedIn.
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