Supply Chain Service Data Scientist
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About The Position
Continuous optimization of our spares delivery performance: Our service supply chain supports a wide range of spare parts; from nuts and bolts to highly sophisticated optics/lasers/high precision mechanical devices/etc. While our enterprise planning system optimizes inventory investment to support customer demand, our service supply chain organization must tune the optimization parameters and planning processes to meet customer needs at the right investment. Our Business Intelligence team seeks data driven approaches to help the organization strike the optimal balance with systems and process config. Below is what you will be doing to drive improvements to our parts forecasting processes: Perform analysis on our spares delivery performance, whether at individual transaction level or at aggregate fleet wide performance Establish root cause analysis to uncover key drivers for performance impact This will include the development and use of machine learning / regression models to uncover drivers of performance that cannot otherwise be found using traditional analytics approaches Report the findings to our planning organization and to our senior management enabling them to drive corrective actions as needed Perform analysis to evaluate various inventory optimization approaches in our systems and processes This will include developing and/or leveraging various simulation techniques to perform what-if analysis Collaborate with the planning organization to help refine the planning system configuration and planning processes based on simulation findings Assist in spare parts forecasting analytics This will include building scalable solutions to identify part failure rates across various products/customer/regions.
