Senior Data Scientist

2 weeks ago

Oakville, Ontario, Canada Geotab Inc. Full time
Job Title: Senior Data Scientist

Geotab is a global leader in IoT and connected transportation, and we're seeking a highly skilled Senior Data Scientist to join our team. As a Senior Data Scientist, you will be responsible for designing and implementing advanced data science solutions that drive innovation and efficiency within the telematics industry.

Key Responsibilities:
  • Research and develop 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.
  • Build evaluation systems to assess model output quality and product experience objectively.
  • 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.
  • 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.
  • 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.
Requirements:
  • 5-8+ years of experience in Data Scientist or similar role, with expertise in writing SQL queries, programming in Python, and building production machine learning models.
  • 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.
  • Proficiency in model deployment and cloud services (e.g., AWS, Azure).
  • Knowledge of data management, including building datasets and evaluating model performance.
  • 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.
  • Business acumen to align technical initiatives with strategic business objectives.
Why Geotab:

Geotab offers a flexible hybrid working model, with systems, functions, programs, and policies in place to support both in-person and virtual work. 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

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