Lead Data Scientist (Video)

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.   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. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news. Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist (Video) who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals

What you'll do:

The Lead Data Scientist (Video) will develop AI models specializing in video analysis that deeply understand the Geotab ecosystem and are capable of providing comprehensive customer support, delivering expert guidance on best practices through video analysis, and images. With a strong understanding of vision model architectures for video processing, the Lead Data Scientist will have the ability to experiment, implement, test and maintain production-grade intelligent video analysis systems and pipelines. This position utilizes strong problem-solving and AI skills in order to align developed data solutions with Geotab’s organizational goals.

How you'll make an impact:

• Develop and refine vision models for cloud and edge platforms including deep learning architectures.
• Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in vision models.
  
• Collaborate with cross-functional teams including product managers, data analysts, data scientists, developers, user experience analysts and external stakeholders to gather requirements, build video-related products.
• Support the definition and shaping of research and development initiatives in areas of subject matter expertise.
• Create algorithms and predictive models required to solve complex business problems.
• Own the design, development and maintenance of scalable models.
• Test the performance of models/data products and make recommendations for improving Geotab’s product suite.
• Take responsibility for the technical output of a project.
• Use open source LLM/VLM packages to train/fine-tune AI models to better understand the Geotab ecosystem.
• Conduct experiments to identify the root issues of an observed result. 
• Stay up to date on the latest research in data science, and propose innovative ideas and techniques to advance the field in our business domain.
• Build relationships with stakeholders including customers, product managers, cross-functional teams, and external partners.
• Contribute to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success.
• Ensure that knowledge is shared amongst the team and does not position themselves or others as a single point of failure; is skilled at influence without authority, to unblock technical impediments and achieve necessary technical alignments across individuals and teams with minimal escalations. 
• Mentor multiple Data Scientists; work through others; lift the skills and expertise of those around.
• Advise managers with insights and recommendations to improve the technical team; participate in recruiting processes for technical team members.
• Own responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Collaborate with business stakeholders to understand their requirements and develop analytical solutions.
• Drive innovation and continuous improvement in data science methodologies and practices within the organization.

What you'll bring to the role:

• Masters or Equivalent Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. 
• 8-10 years of experience as a Data Scientist, Vision Researcher or a similar role. 
• 8-10 years of experience in Python programming.
• Experience with building, training, and deploying vision models based around the transformer architecture.
• Experience with building, training, and deploying vision models based around the diffusion architecture.
• Experience with natural language processing model architectures, optimizing, training, and deployment including classification, sentiment analysis, generation.
• Experience with novel architectures, loss functions, regularization techniques, and data augmentation.
• Experience with model deployment in large-scale production systems.
• Experience in working with large amounts of data in SQL.
  
• Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• AirFlow, apache-beam, BigQuery and other cloud based technologies to scale machine learning models will be an asset.
  

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!   We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. 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. 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 read our Privacy Notice. Click here to learn more about what happens with your personal data.