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 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.
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!
Geotab verifies candidates' eligibility to work in the United States through E-Verify, an internet-based system operated by U.S. Citizen and Immigration Services.
Other employment statements:
Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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. Geotab provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Geotab complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Geotab expressly prohibits any form of workplace harassment or discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Geotab's employees to perform their job duties may result in discipline up to and including discharge. If you would like more information about our EEO program or wish to file a complaint, please contact our EEO officer, Klaus Boeckers at HRCompliance@geotab.com. For more details, view a copy of the EEOC's Know Your Rights poster. 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.
