Ecosystem 3.0 – Trip Analysis and Optimization- ON-462Desired discipline(s): Engineering - computer / electrical, Engineering, Computer science, Mathematical Sciences, Visual arts, Social Sciences & Humanities
Project Length: Longer than 1 year
Preferred start date: 07/01/2021
Language requirement: English
Location(s): Toronto/Oakville, ON, Canada; Canada
No. of positions: 5-10
About the company:
Founded in 1999, the Company designs, implements, and manages nontaxable vehicle reimbursement programs (“VRP”). The Company follows the IRS-compliant Fixed and Variable Rate Reimbursement (“FAVR”) methodology, which pays employees tax-free reimbursements for the use of their own vehicles for business mileage. The Company's software suite accurately reimburses employees by factoring in their geography, along with other vehicle-specific parameters.
The Company provides expense reimbursement and fleet administrative software and services to companies with over 50 high-frequency drivers (i.e., more that 5K miles driven each year), such as those working in sales, merchandising, or site inspection.
Please describe the project.:
Route optimization and predictive analytics for fortune 500 fleets. The Company wants to proactively help clients drivers’ daily trips and to help determine optimum trip routes. The objective of this project will be to enhance the Company's Cloud and Mobile services to offer a solution that can help its customers recommend ways to reduce utilized mileage.
This initial project will be the foundation for the company to build out the next iteration of our ecosystem.
Looking for Machine Learning base with development skills in Full Stack Development, Predictive Analytics, Artificial Intelligence, and Machine Learning. Candidates will develop the applications, including full life cycle responsibilities from collaboration with stakeholders to defining business functions, develop predictive models and algorithms, applications & interface design, testing, documentation, implementation, and ongoing support.