Senior Data Scientist, Generative AI

at  Geotab

Basis:Permanent - Full-time
Area of Interest:Data & Analytics
Location:Oakville, 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.
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. Join our talent network to learn more about job opportunities and company news.
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, Generative AI who will Design and develop generative AI models using advanced machine learning and deep learning techniques. The projects will vary in scope, complexity, and affected business area.} 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, Generative AI your key area of responsibility will be to implement advanced data science solutions that drive innovation and efficiency within the telematics industry. The Senior Data Scientist is accountable for designing and running experiments to enhance Gen AI applications, researching and developing new algorithms tailored to telematics data and evaluating and optimizing data models for improved performance. Key responsibilities include leveraging advanced Gen AI techniques, collaborating with cross-functional teams to apply Gen AI to the development of new products and services in addition to continuously improving model performance through systematic testing and refinement. The Senior Data Scientist is expected to stay at the forefront of Gen AI research to continue to introduce cutting edge solutions to Geotab clients. You will need to work closely with with software developers, AI engineers, and stakeholders to integrate generative AI solutions into telematics platforms.
To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

How you’ll make an impact

• Research, develop, and implement novel Generative AI solutions tailored to telematics applications.
• Design and develop generative AI models using advanced machine learning and deep learning techniques.
• Implement LLM-powered solutions, employing techniques like prompt engineering and Retrieval Augmented Generation (RAG)-based systems.
• Analyze experimental results to evaluate the effectiveness and accuracy of Generative AI algorithms.
• Build evaluation systems to assess model output quality and product experience objectively.
• Design architectures that meet product requirements, balancing considerations such as AI safety and latency.
• Work with software developers, AI engineers, and stakeholders to integrate generative AI solutions into telematics platforms.
• Provide project leadership as a subject matter expert (SME), guiding team members and participating in cross-departmental projects.
• Mentor team members on best practices for AI product development.
• Generate detailed reports and presentations to communicate the impact and value of generative AI solutions to stakeholders.
• Stay updated on industry trends and advancements in generative AI and prompt engineering, integrating best practices into development cycles.
• Engage with the AI research community, applying the latest findings and technologies to AI initiatives.
• Implement new statistical or mathematical methodologies for data analysis models.
• Develop algorithms and predictive models to solve complex business problems.
• Conduct causality experiments using A/B tests or epidemiological approaches to identify root issues.
• Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
• Collaborate with cross-functional teams to seamlessly integrate AI technologies into platforms, ensuring personalized user experiences.
• Maintain comprehensive documentation of research, methodologies, model design, and experimental results.

What you’ll bring to the role

• 5 - 8+ years in Data Scientist or similar role. Writing SQL queries, programming in Python, and building production machine learning models,.Experience with transformer models such as BERT and GPT, and pre-LLM NLP models like word2vec or GloVe.
• Experience with OpenAI’s and VertexAI frameworks and APIs
• Experience in data augmentation techniques to enhance model training and performance.
• Proven experience in developing and deploying generative AI projects in real-world applications, including fine-tuning and distilling models.
• Expertise in prompt engineering closed-source models (e.g., GPT) or open-source models (e.g., Mixtral) for specific application needs.
• Proficiency in model deployment and cloud services (e.g., GCP, Azure, AWS) for scalable solutions.
• Knowledge of data management, including building datasets and evaluating model performance.
• Familiarity with advanced AI frameworks and libraries such as PyTorch, TensorFlow, and Langchain.
• Solid understanding of machine learning principles, statistical analysis, and predictive modeling.
• Ability to ensure ethical considerations in Generative AI, including data privacy, bias detection, and model explainability.
• Strong project management skills, capable of leading projects from conception to completion.
• Excellent communication skills for effective collaboration across teams and with external partners.
• High attention to detail and analytical skills, with the ability to make well-judged decisions.
• Strong team-player with the ability to engage effectively at all organizational levels.
• Business acumen to align technical initiatives with strategic business objectives.
• Adaptive mindset to stay current with evolving technologies and market demands.
• Entrepreneurial mindset and comfort in a flat organizational structure.

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.

PLEASE NOTE: GEOTAB DOES NOT ACCEPT AGENCY RESUMES AND IS NOT RESPONSIBLE FOR ANY FEES RELATED TO UNSOLICITED RESUMES. PLEASE DO NOT FORWARD RESUMES TO GEOTAB EMPLOYEES.

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.

What you’ll bring to the role

• 5 - 8+ years in Data Scientist or similar role. Writing SQL queries, programming in Python, and building production machine learning models,.Experience with transformer models such as BERT and GPT, and pre-LLM NLP models like word2vec or GloVe.
• Experience with OpenAI’s and VertexAI frameworks and APIs
• Experience in data augmentation techniques to enhance model training and performance.
• Proven experience in developing and deploying generative AI projects in real-world applications, including fine-tuning and distilling models.
• Expertise in prompt engineering closed-source models (e.g., GPT) or open-source models (e.g., Mixtral) for specific application needs.
• Proficiency in model deployment and cloud services (e.g., GCP, Azure, AWS) for scalable solutions.
• Knowledge of data management, including building datasets and evaluating model performance.
• Familiarity with advanced AI frameworks and libraries such as PyTorch, TensorFlow, and Langchain.
• Solid understanding of machine learning principles, statistical analysis, and predictive modeling.
• Ability to ensure ethical considerations in Generative AI, including data privacy, bias detection, and model explainability.
• Strong project management skills, capable of leading projects from conception to completion.
• Excellent communication skills for effective collaboration across teams and with external partners.
• High attention to detail and analytical skills, with the ability to make well-judged decisions.
• Strong team-player with the ability to engage effectively at all organizational levels.
• Business acumen to align technical initiatives with strategic business objectives.
• Adaptive mindset to stay current with evolving technologies and market demands.
• Entrepreneurial mindset and comfort in a flat organizational structure