Lead Data Scientist – Telematics company
This company is a global leader in IoT and connected transportation. They are advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. The company’s open platform and 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, the company 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.
Backed by a team of industry leading data scientists, engineers and AI experts, we serve over 50,000 customers across 160 countries, processing billions of data points hourly from more than 4 million vehicles. Data security and privacy are at the forefront of all we do—trusted by Fortune 500 organizations and some of the largest public sector fleets in the world, we meet top cybersecurity standards. The company’s open platform and diverse Marketplace offers hundreds of fleet-ready third-party solutions.
Role: As a Data Science Team Lead, your key area of responsibility is to be accountable for the end-to-end implementation and deployment of advanced Generative AI solutions, including the design, development, and optimization of complex data models. This position drives cross-functional projects, ensuring the team's work directly aligns with core organizational goals to deliver innovative products and services in the telematics industry. With a strong blend of technical expertise and leadership, this position upholds a high technical standard for the team's output while leveraging strong problem-solving and statistical analysis to ensure all data products meet critical business needs. This position will receive strategic guidance from the senior leadership of the department while owning the technical delivery and mentoring the team to reach their full potential
Title : Lead Data Scientist
Location : 3 offices in Ontario. Hybrid 2 days in office.
155 University Avenue, 2nd Floor, Unit 200 Toronto, Ontario, M5H 3B7, Canada 2440 Winston Park Drive, Oakville, Ontario, L6H 7V2, Canada
137 Glasgow Street, Unit 340, Kitchener, Ontario, N2G 4X8, Canada
Type of position : Full time, permanent
Salary: 150k-185k + performance bonus of 5k-10k + 3-4 week’s vacation + 4% RRSP Matching
Start date : start of 2026
Key Responsibilities:
- Lead Generative AI Engineering team in developing a clear technical roadmap. Translate strategic business goals into actionable and innovative Generative AI solutions for the telematics industry.
- Design and implement robust, scalable, and secure architectures for AI-powered systems. Ensure solutions are optimized for performance, efficiency, and safety, while balancing critical considerations like AI safety and latency.
- Research, develop, and implement novel Generative AI powered solutions. Champion advanced techniques such as prompt engineering and Retrieval Augmented Generation (RAG) to solve complex business challenges.
- Establish and maintain a high technical bar for the team's output. Lead the design of objective evaluation systems to rigorously assess model quality, performance, and user experience.
- Continuously monitor and integrate cutting-edge advancements in generative AI, deep learning, and prompt engineering into the development lifecycle. Actively engage with the broader AI research community to bring in best practices and new methodologies.
- Serve as the primary technical subject matter expert, guiding the GenAI engineering team on a day-to-day basis and providing hands-on support for complex technical challenges.
- Actively mentor and coach team members on best practices in AI product development, providing timely and constructive feedback to support their professional growth.
- Manage communication with cross-functional stakeholders, translating complex technical insights into clear, actionable reports and presentations. Ensure comprehensive documentation of research, methodologies, and model designs is maintained.
- Drive the recruitment and hiring of top-tier data scientists for the Ace team, assessing both technical skills and cultural fit.
- Encourage and enable the team to experiment with new technologies and methodologies, making pragmatic trade-offs to meet project goals while fostering a culture of continuous learning.
Required qualifications
- Bachelor's Diploma/Degree specialization in Computer Science, Data Science, Mathematics, or a related field.
- Minimum of 3+ years of relevant industry experience in a data science or machine learning role.
- Experience in a team leadership or senior-level role, including mentoring junior data scientists.
- Hands-on experience with the entire lifecycle of a Generative AI project, from development to production deployment.
- Expertise in modern Generative AI and LLMs, including transformer architectures, prompt engineering, and RAG systems.
- Expert proficiency in Python, LangGraph, LangChain and SQL
- Comprehensive understanding of machine learning principles, statistical analysis best practices.
- Experience designing scalable AI architectures on cloud platforms (GCP, Azure).
- Prior experience in telematics, IoT, or large-scale data systems is a strong plus.