Geotab
Senior Data Scientist, Generative AI
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. Geotab is seeking a Senior Data Scientist who will utilize data science techniques to develop and enhance solutions within the telematics industry. 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 in Generative AI, your key area of responsibility will be implementing and refining generative AI models, analyzing complex telematics data to derive actionable insights, and contributing to the continuous improvement of model performance through testing and iteration. You will need to work closely with other Data Scientists and cross-functional teams across the organization. To be successful in this role you will be a collaborative and proactive problem-solver with strong communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have a deep understanding of generative AI techniques and excellent analytical skills to manage complex data analysis and deliver innovative solutions. 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. 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. What You'll Bring To The Role
Post-secondary Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field. 5-8 years of previous experience as a Data Scientist or similar role. 5-8 years experience in writing SQL queries. 5-8 years experience in 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. Solid understanding of machine learning and operations research. Knowledge of data management and visualization techniques. Affinity for statistical analysis and predictive modelling. Possess strong business acumen and link marketing initiatives to streamline operations. High accuracy and meticulous attention to detail. Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion. Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands. Strong analytical skills with the ability to problem solve to well-judged decisions. Strong team-player with the ability to engage with all levels of the organization. Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides). 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.
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. Geotab is seeking a Senior Data Scientist who will utilize data science techniques to develop and enhance solutions within the telematics industry. 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 in Generative AI, your key area of responsibility will be implementing and refining generative AI models, analyzing complex telematics data to derive actionable insights, and contributing to the continuous improvement of model performance through testing and iteration. You will need to work closely with other Data Scientists and cross-functional teams across the organization. To be successful in this role you will be a collaborative and proactive problem-solver with strong communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have a deep understanding of generative AI techniques and excellent analytical skills to manage complex data analysis and deliver innovative solutions. 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. 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. What You'll Bring To The Role
Post-secondary Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field. 5-8 years of previous experience as a Data Scientist or similar role. 5-8 years experience in writing SQL queries. 5-8 years experience in 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. Solid understanding of machine learning and operations research. Knowledge of data management and visualization techniques. Affinity for statistical analysis and predictive modelling. Possess strong business acumen and link marketing initiatives to streamline operations. High accuracy and meticulous attention to detail. Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion. Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands. Strong analytical skills with the ability to problem solve to well-judged decisions. Strong team-player with the ability to engage with all levels of the organization. Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides). 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.