Data Scientist, Generative Ai

1 month ago

Oakville, Canada Geotab Full time

**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.

**Who you are**:
**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**:

- 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.
- 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
- 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.
- 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

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