Motive combines IoT hardware with AI-powered applications to connect and automate physical operations.
Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting
1001 - 5000
March 20
Motive combines IoT hardware with AI-powered applications to connect and automate physical operations.
Electronic Logging Devices • Fleet Management • Vehicle GPS Tracking • Driver Vehicle Inspection Reports • IFTA Reporting
1001 - 5000
• The candidate is expected to take technical ownership of multiple mission-critical modelling domains in our telematics group. This is a vital hire for the company as Motive leads its competitors in telematics quality and AI, and the candidate would have a front-row seat in defining and building the machine learning algorithms to keep us at this forefront • Work closely with Product Insurance to build, improve and implement data ETLs and analysis • Apply statistical and machine learning techniques on large datasets • Evaluate the utility of non-traditional data sources
• Bachelor's degree or higher in a quantitative field, e.g. Computer Science, Math, Economics, or Statistics • 4+ years experience in data science, machine learning, and data analysis • Expertise in applied probability and statistics • Deep understanding of machine learning techniques and algorithms • End-to-end deployment data-driven model deployment experience • Expertise in data-oriented programming (e.g. SQL) and statistical programming (e.g., Python, R). PySpark experience is a plus
• Creating a diverse and inclusive workplace is one of Motive's core values • Equal opportunity employer • Welcome people of different backgrounds, experiences, abilities and perspectives
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