Verizon Wireless Principal Data Scientist - Supply Chain in Lowell, Massachusetts
Supply Chain Predictive & Prescriptive Analytics team at Verizon Wireless needs highly skilled and experienced experts in data analysis including modeling, data mining and visualization to support decision making at day-to-day, tactical and strategic levels.
Principal Data Scientist is part of a leading-edge predictive and prescriptive analytics team responsible for
Supporting day-to-day and tactical analytics needs of the operational teams; perform transportation lanes related analysis for business questions such as route speed vs. cost, method of delivery, air vs. ground, what-if scenarios for changes in time of day, method of delivery, pallet vs. case pick, etc.
Driving strategic efforts across the supply chain organization, leveraging advanced analytics to optimize processes and procedures that lead to improved device life cycle management, working capital optimization and cost reduction;
Ensuring appropriate and correct modeling techniques are used by the data scientists and analysts in the team;
Being the go-to-person for the data scientists and analysts for technical modeling questions, and the state-of-the-art models and software in the field.
Seeking experience in Predictive and Prescriptive Analytics
He/She is an individual contributor, and autonomous in technical and analytical choices like determining the appropriate modeling technique to utilize and design decisions.
Principle Data Scientist interacts with various Verizon Wireless teams like supply planning & replenishment (supply chain), distribution & transportation (supply chain), forecasting (device marketing), assortment planning (device marketing and merchandising). He/She is a highly skilled expert in quantitative modeling, statistics, data mining and visualization.
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
Proficiency in engaging and influencing large teams and functional leaders is required
CAP certification is preferred
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
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