Predictive Modeling Analyst

Predictive Modeling Analyst

Aerotek currently has a need for a Predictive Modeling Anayst with experience analyzing supply chain processes in the St. Louis area.

Responsibilities will include these activities.

• Design, create and implement predictive analytic models to support supply chain business processes including demand forecasting/planning, supply forecasting, production, logistics and customer service.
• Research current process and emerging needs for analytic models, data inputs & outputs, analytic metrics, and user interface needs.
• Identify and document sources and flows of business data used in analytic models. Identify data quality issues, potential data governance approaches and process improvements.

Qualifications:

• Experience working with large complex data sets in a predictive modeling context
• Experience in predictive modeling algorithms such as multi-variate regression, neural networks, support vector machines, clustering, and Bayesian statistics
• Experience in statistics or econometric modeling such as time series, partial equilibrium, and almost ideal demand system
• Experience developing analytic models in tools such as R, SAS, SPSS
• Detail oriented with the ability to dive deep into business process, data and analytics
• BS/BA degree, preferably in statistics, engineering, economics or supply chain.

Desired skills/experience:

• Experience working on statistical modeling for supply chain decision-making
• Supply Chain certification such as APICS CPIM, CSCP or SCOR
• Experience with linear programming and stochastic optimization with tools such as CPLEX or Gurobi
• Master or PhD in engineering, statistics, agricultural economics, or supply chain
• Six Sigma or Lean certification

About Aerotek:

Aerotek, headquartered in Hanover, Md., is a leading provider of technical, professional and industrial staffing services. Established in 1983, Aerotek is an operating company of Allegis Group, the largest provider of staffing services in the U.S. Aerotek operates a network of more than 200 non-franchised offices throughout the U.S., Canada and Europe. For more information, visit .