Who we are

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Generative AI Data Scientist who will assist and implement Generative AI solutions tailored to telematics applications. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

The Generative AI Data Scientist focuses 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. 

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 Degree in Data Science, Mathematics, Computer Science, Statistics, or related field.
• 3-5 years of previous experience in Data Scientist or similar role.
• 3-5 years of experience with writing SQL queries, programming in Python. 
• 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.

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