Job descriptionWho We Are:
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. Who We Are:
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 strong compliance to regulatory changes. Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Who You Are:
We are always looking for amazing talent who can contribute to our growth and deliver results! 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. If you love technology, and are keen to join an industry leader — we would love to hear from you! What You'll Do:
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. To be successful in this role you will be a strong team‑player with the ability to engage with all levels of the organization, and will possess strong analytical skills with the ability to problem solve to well‑judged decisions. 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. How You'll Make An Impact:
Implement new statistical or mathematical methodologies for specific models of data analysis. Create algorithms and predictive models to extract information required to solve complex business problems. Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result. Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization. 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. What You'll Bring To The Role:
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). Experience with evaluation framework design, including ensemble voting approaches and ground truth management. Excellent communication skills for effective collaboration across product, platform, and data science teams. Familiarity with 3D reconstruction and LiDAR technologies is considered a strong asset. If you got this far, we hope you’re feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply. Why Job Seekers Choose Geotab:
Flex working arrangements Home office reimbursement program Baby bonus & parental leave top up program Online learning and networking opportunities Electric vehicle purchase incentive program Competitive medical and dental benefits Retirement savings program The above are offered to full‑time permanent employees only How We Work:
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. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. 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. The health and safety of employees are a top priority. 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. Geotab encourages applications from all qualified individuals. 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 careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data. The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check. Hiring Range
$113,000—$150,700 CAD
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