Senior Data Scientist
Geotab is seeking a Senior Data Scientist who will focus on leveraging machine-learning techniques to analyze and extract insights from Geotab's data infrastructure within the Geospatial domain. The role involves implementing new statistical or mathematical methodologies, creating algorithms and predictive models, and also handling the complexity of queries from big data infrastructure like Google BigQuery. Within the team, this individual will provide expert project leadership and contribute significantly to cross-departmental projects. The objective is to align data products with organizational goals, enhance predictive maintenance capabilities, and contribute to the company's leadership in data science. Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information. Geotab is recognized as a global leader in IoT and connected transportation, distinguished not just for its technology but also as a certified Great Place to Work. The company excels in advancing security, connecting commercial vehicles to the internet furnishing web-based analytics that assists businesses in fleet management, productivity enhancement, and compliance with regulatory changes through data analytics and machine learning. Geotab's open platform and Marketplace facilitate the integration of vehicle data with other data assets, optimizing operations across small and large businesses alike. They process billions of data points daily, leveraging machine learning for impactful insights into productivity, fleet optimization, driver safety, and compliance. #J-18808-Ljbffr
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