Senior Data Scientist, Generative AI Data
3 weeks ago
We are seeking a highly skilled Senior Data Scientist to join our team at Geotab Inc. As a Senior Data Scientist, you will be responsible for designing and developing advanced data science solutions that drive innovation and efficiency within the telematics industry.
Key Responsibilities- Research, develop, and implement 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.
- Analyze experimental results to evaluate the effectiveness and accuracy of Generative AI algorithms.
- Build evaluation systems to assess model output quality and product experience objectively.
- Design architectures that meet product requirements, balancing considerations such as AI safety and latency.
- 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.
- Mentor team members on best practices for AI product development.
- Generate detailed reports and presentations to communicate the impact and value of generative AI solutions to stakeholders.
- Stay updated on industry trends and advancements in generative AI and prompt engineering, integrating best practices into development cycles.
- 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.
- Develop algorithms and predictive models to solve complex business problems.
- 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.
- 5 - 8+ years in Data Scientist or similar role. Writing SQL queries, programming in Python, and building production machine learning models. 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 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.
- Expertise in prompt engineering closed-source models (e.g., GPT) or open-source models (e.g., Mixtral) for specific application needs.
- Proficiency in model deployment and cloud services (e.g., GCP, Azure, AWS) for scalable solutions.
- Knowledge of data management, including building datasets and evaluating model performance.
- Familiarity with advanced AI frameworks and libraries such as PyTorch, TensorFlow, and Langchain.
- 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.
- Excellent communication skills for effective collaboration across teams and with external partners.
- High attention to detail and analytical skills, with the ability to make well-judged decisions.
- Strong team-player with the ability to engage effectively at all organizational levels.
- Business acumen to align technical initiatives with strategic business objectives.
- Adaptive mindset to stay current with evolving technologies and market demands.
- Entrepreneurial mindset and comfort in a flat organizational structure.
At Geotab Inc., we offer a competitive compensation package, including a comprehensive benefits program, retirement savings plan, and opportunities for professional growth and development. We are committed to creating a diverse and inclusive work environment that values and respects the contributions of all employees.
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