Team Lead, Data Science (Generative AI)

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Science Team Lead who will lead a technical team of data scientists to gain useful insight from raw data, plan projects, and build analytical models. 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 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.

How you'll make an impact:

• Lead Geotab’s 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.

What you'll bring to this role:

• 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.