Senior Data Scientist, Generative AI
Company: Tbwa Chiat/Day Inc
Location: Atlanta
Posted on: March 30, 2025
Job Description:
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. Ours
is a fast-paced, ever-changing environment. Geotabbers accept that
challenge and are willing to take on new tasks and activities -
ones that may not always be described in the initial job
description. Join us for a fulfilling career with opportunities to
innovate, great benefits, and our fun and inclusive work culture.
Reach your full potential with Geotab.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,
Generative AI who will design and develop generative AI models
using advanced machine learning and deep learning techniques. The
projects will vary in scope, complexity, and affected business
area. 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, Generative AI your key area of responsibility will
be to implement advanced data science solutions that drive
innovation and efficiency within the telematics industry. The
Senior Data Scientist is accountable for designing and running
experiments to enhance Gen AI applications, researching and
developing new algorithms tailored to telematics data and
evaluating and optimizing data models for improved performance. Key
responsibilities include leveraging advanced Gen AI techniques,
collaborating with cross-functional teams to apply Gen AI to the
development of new products and services in addition to
continuously improving model performance through systematic testing
and refinement. The Senior Data Scientist is expected to stay at
the forefront of Gen AI research to continue to introduce
cutting-edge solutions to Geotab clients. You will need to work
closely with software developers, AI engineers, and stakeholders to
integrate generative AI solutions into telematics platforms.To be
successful in this role you will be a self-starter with strong
written and verbal communication skills, and have the ability to
quickly understand complex, technical concepts. In addition, the
successful candidate will have strong analytical and project
management skills with an ability to identify needs, develop
effective solutions, and manage projects through completion. The
successful candidate will also be able to manage multiple timelines
and contrasting priorities to ensure timely results.How you'll make
an impact
- 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.What you'll
bring to the role
- 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.
- Masters in Data Science, Mathematics, Computer Science,
Statistics, or related field.
- 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.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 GeotabFlex working
arrangementsHome office reimbursement programBaby bonus & parental
leave top up programOnline learning and networking
opportunitiesElectric vehicle purchase incentive programCompetitive
medical and dental benefitsRetirement savings program*The above are
offered to full-time permanent employees onlyHow we workAt 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!
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Keywords: Tbwa Chiat/Day Inc, Atlanta , Senior Data Scientist, Generative AI, Other , Atlanta, Georgia
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