Senior Data Scientist

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 ourblog and follow us @Inside Geotab on Instagram .

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!

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.

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 Big Query) 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.

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),…