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Principal Data Scientist - Supply Chain

Principal Data Scientist - Supply Chain


Data Scientist, Supply Chain sought by Fortune 500 company to be part of a leading-edge predictive and prescriptive analytics.

This is an individual contributor, and autonomous in technical and analytical choices like determining the appropriate modeling technique to utilize and design decisions.

The Principle Data Scientist interacts with various teams like supply planning & replenishment, distribution & transportation, forecasting, and assortment planning. This is a highly skilled expert in quantitative modeling, statistics, data mining and visualization.

Requirements:
Master's degree in Supply Chain, Operations Research, Industrial Engineering, Statistics, Economics or a related field is required; PhD degree is preferred
3 years of experience in developing and implementing analytical models in business is required
Strong familiarity and hands-on experience with SQL and statistical software packages (e.g., R, SAS or SPSS) is required
Coding skills (for personal use) in a general-purpose programming language (e.g., C/C , Java or Python) are required
Excellent verbal and written communication skills is required
Familiarity and experience with data visualization software like Qlik, Tableau or Excel is preferred
Familiarity and experience with creating analytical data sets is preferred
Experience and competency in supply chain management is preferred

Keywords: Supply Chain, SAS, R, Predictive Modeling, Predictive Analytics, SQL

Location: Morristown, NJ; Atlanta, GA; Dallas, TX

Refer to Job #22168 - GSJ send word attached resume to Orly Miller
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