What you’ll do on a typical day:  

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  Strong understanding of Warehouse concepts, Labor planning, Demand forecasting and Industrial Engineering 

  
  

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  Demonstrated ability to provide guidance and development to a group of analyst and engineers 

  
  


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  Strong analytical skills with the ability to collect, organize, analyze and disseminate information with attention to detail and accuracy 

  
  


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  Demonstrated experience with database design, data models and integration/extraction technologies and techniques 

  
  


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  Experience with visualization tools (Power BI, Tableau, and Oracle’s Business Intelligence preferred) 

  
  


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  Expertise in programming for data wrangling and statistics (R, Python) 

  
  

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  Strong knowledge of statistics and experience using statistical modeling (logistic regression, SVMs, etc.) to solve business specific problems 

  
  


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  Experience with text analytics (e.g. semantic analysis) is a plus 

  
  

It’d be great if you also have: Primary Skills (Must Have): 

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  Programming: Python, R, CPLEX, SQL, VBA 

  
  

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  Visualization: Power BI, Tableau, Oracles Business  

  
  


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  Statistical modeling techniques: Linear/logistic regression (including advanced predictor selection techniques), classification (decision trees, random forests), Support Vector Machines (SVMs), neural networks, etc. 

  
  


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  Algorithm Development:  Machine learning, Deep learning, and advanced Algorithmic solution development