Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities. Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets.

Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve robust compliance to regulatory changes. Geotab is seeking a Senior Data Scientist who will explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. As a Senior Data Scientist your key area of responsibility will be designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions, providing expert project leadership as a SME, and participating in cross-departmental projects establishing Geotab as a leader in data science.

You will need to work closely with internal technical teams and external stakeholders to gather requirements. In addition, the successful candidate will have strong project management skill and be able to identify needs, develop effective solutions, and manage projects through to completion.



Implement new statistical or mathematical methodologies for specific models of data analysis.

Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Use machine learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features. Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.

Collaborate with internal technical teams and external stakeholders to gather requirements. Build production datasets and help customers solve business problems. Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset). ~5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role. ~ A solid grasp of fundamental computer vision concepts, with proven experience building and deploying computer vision or video analytics pipelines in production environments using Python. ~ Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and optimizing deployment across both cloud-based inference infrastructure (e.g., Ray, Vertex AI, Azure) and edge processing environments. ~ Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark). ~ Excellent communication skills for effective collaboration across product, platform, and data science teams. ~ Familiarity with 3D reconstruction and LiDAR technologies is considered a robust asset.





Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Competitive medical and dental benefits Retirement savings program *The above are offered to full-time permanent employees only At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working.

We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology! We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business.

We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes.

If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [email protected] also includes equity with other team members and alignment with local market data. 113,000 — $150,700 CAD #

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