Job id-121287
Project Goals:
Investigating and reviewing the various data sets available from GFS systems that pertain to GFS drivers
Determining which datasets are most valuable for use in a predictive model for driver collisions
Merging and preparing data sets which are determined as valuable for the predictive model
Developing a predictive model for driver collisions using either MicroStrategy or R
Refining the driver collision predictive model given input from the GFS SCM domain expert
Presenting the final model to GFS leadership
Some of the requirements and qualifications for this position are:
Must be enrolled in a Master's program in Statistics or Advanced Analytics, or a relevant field
Must have a minimum cumulative GPA of 3.0 or higher; students will be asked to provide a transcript at the time of an interview
Must have good working knowledge of Data Acquisition and Analysis
Experience with Statistical model development (preferably using MicroStrategy and/or R)
Familiarity with SCM Transportation concepts would be preferable
- Must have effective written and verbal communication skills.
Gordon Food Service values our customers and understands that their success is largely dependent upon their workforce. To demonstrate our commitment to our partnership, we will require any candidate who works for a Gordon Food Servcie customer to provide a letter of support from their management if they are selected for the interview process.
Gordon Food Service is an equal opportunity employer. All qualified applicants and employees will receive consideration for employment, or in terms or conditions of employment, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or status as a qualified individual with disability.
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