Senior Data Scientist, Generative AI

Geotab • Atlanta, Georgia - USA • 1w ago

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! 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.

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.