Data Scientist, 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 Scientist, Generative AI who will focus on utilizing data science techniques to develop and enhance solutions within the telematics industry. In collaboration with other Data Scientists on the team, this role will be responsible for implementing and refining Gen AI models, analyzing telematics data to derive insights, and supporting the development of innovative products and services. Key responsibilities include leveraging Gen AI techniques, collaborating with cross-functional teams to optimize models, and contributing to the continuous improvement of model performance through testing and iteration. 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 Scientist, Generative AI your key area of responsibility will be to develop and refine generative AI models using established machine learning and deep learning techniques. You will need to work closely with software developers, AI engineers to integrate generative AI solutions into telematics platforms

To be successful in this role you will be a strong communicator with skills for collaboration within teams and with stakeholders. In addition, the successful candidate will stay informed on industry trends and advancements in generative AI and prompt engineering, applying best practices to development cycles.

How you’ll make an impact

• Assist and implement Generative AI solutions tailored to telematics applications, with guidance from senior team members.
• Develop and refine generative AI models using established machine learning and deep learning techniques.
• Assist in implementing 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, providing insights for optimization.
• Contribute to the development of evaluation systems to assess model output quality and product experience.
• Work with software developers, AI engineers to integrate generative AI solutions into telematics platforms.
• Participate in cross-departmental projects, contributing as a data science expert under the direction of senior team members.
• Document research, methodologies, model design, and experimental results to maintain comprehensive records.
• Stay informed on industry trends and advancements in generative AI and prompt engineering, applying best practices to development cycles.
• Implement statistical or mathematical methodologies for data analysis models, following established practices.
• Develop algorithms and predictive models to solve business problems, with oversight from senior staff.
• Conduct A/B tests or other experimental approaches to identify root causes of issues, reporting findings to senior data scientists.
• Extract value from big data infrastructure (e.g., Google BigQuery) through complex queries and analyses.
• Collaborate with cross-functional teams to integrate AI technologies into platforms, contributing to personalized user experiences.

What you’ll bring to the role

• Bachelors in a related field in Data Science, Mathematics, Computer Science, Statistics, or related field.
• 1 - 3 years experience as a Data Scientist or similar role. Writing SQL queries, programming in Python and 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 contributing to generative AI projects, including model fine-tuning and basic model adjustments for specific applications.
• Familiarity with prompt engineering for both closed-source (e.g., GPT) and open-source models.
• Proficiency in deploying models using cloud services (e.g., GCP, Azure, AWS) with a focus on scalability.
• Basic knowledge of data management practices, including building datasets and evaluating model performance.
• Understanding of AI frameworks and libraries such as PyTorch and TensorFlow, with an emphasis on practical application.
• Solid grasp of machine learning principles, statistical analysis, and predictive modeling.
• Awareness of ethical considerations in Generative AI, including data privacy and bias detection.
• Strong communication skills for collaboration within teams and with stakeholders.
• Attention to detail and analytical thinking to support decision-making processes.
• Team-oriented mindset with the ability to collaborate effectively across different levels of the organization.
• Willingness to stay updated on new technologies and adapt to evolving market demands.
• Stay informed on the latest advancements in Gen AI to effectively contribute to the team’s goals

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. Click here to learn more about what happens with your personal data.