Basis: Permanent - Full-time

Area of Interest: Data & Analytics

Location : Oakville, Ontario - Canada; Toronto, Ontario - Canada; Waterloo, Ontario

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.

About Geotab Vitality : Geotab Vitality is not just a joint venture; it's a pioneering force at the intersection of telematics and behavioral science, reimagining how global fleets operate. As a collaborative powerhouse between Geotab and Vitality Global, we're leveraging Geotab’s vast network of 55,000+ customers and 800+ global reseller partners to drive material improvements in driver safety, sustainability, productivity, and efficiency.

What you'll do : We are seeking an exceptional Data Scientist to support data science, AI, and automation efforts across Geotab Vitality. This role is at the heart of our mission to shift driver behaviour at scale using data, AI, and behavioral science.



You will be responsible for executing data science initiatives that power core parts of the business - from AI coaching and personalization in our product, to ROI analytics, engagement prediction, and automation that fuel growth and efficiency. You’ll collaborate with product, engineering, and R&D; to design and productionize intelligent systems that make driving safer, more efficient, and more rewarding for millions of people globally.

How you'll make an impact :

- Execute on the data science and AI roadmap, ensuring technical deliverables align with the broader product strategy.
- Collaborate with Product and R&D; to embed intelligence into driver touchpoints - contributing to AI-based feedback loops, personalized goals, and recommendations.
- Conduct experimentation and model development that influence real-world behavioural change across safety, sustainability, and compliance.
- Work closely with engineering to assist in integrating predictive models directly into product experiences and mobile apps.
- Develop and refine machine learning models that enable adaptive, real-time driver coaching.
- Build and maintain specific models for driver risk prediction and safety scoring, engagement and motivation tracking, personalized feedback loops (e.g. context-aware messages and tailored challenges) and goal-setting algorithms that evolve dynamically based on driver performance.




- Facilitate the transition of models from experimental prototypes to scalable production systems in collaboration with engineering.
- Contribute to the maintenance of data pipelines and deployment frameworks to ensure they remain robust, secure, and effective.
- Utilize an experimentation framework to rapidly test and validate new behavior change hypotheses.
- Develop connected, automated dashboards and data products that provide unified visibility across Sales, Customer Success and Product
- Perform ROI analysis linking driver behavior improvements to fleet safety, fuel efficiency, and compliance outcomes.
- Deliver data insights that help influence customer retention strategies and product roadmap decisions.
- Leverage established best practices, codebases, and mentorship from the wider Geotab/Vitality network to solve unique challenges within the JV.
- Act as the technical voice for data within Geotab Vitality - translating data complexity into clear decisions for business stakeholders.
- Document data schemas, model logic, and processes to ensure a strong foundation.

What you'll bring to this role :

- 1-5 years of progressive experience in data science, machine learning, or AI-driven product development.
- Post
- secondary Degree/Diploma in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related AI/ML discipline or a related field.
- Equivalent combination of education and/or work experience in related fields may be substituted.
- Understanding of machine learning and operations research.
- Able to execute tasks independently within the startup while knowing when to lean on parent-company experts for guidance on complex architectural decisions.
- Thorough knowledge of Python, SQL, BigQuery, dbt, Vertex AI, TensorFlow or PyTorch, model serving and d

📌 Data Scientist (Geotab Vitality) (Oakville)
🏢 GEOTAB
📍 Oakville