Senior Data Analyst (P&C Insurance)
GradientFull Time
Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in Computer Science or a related field, and have at least 3 years of experience in developing data platforms, with a strong focus on C# and .NET. Experience with Google Cloud Platform (GCP) and machine learning data pipelines is highly desirable. Strong written and verbal communication skills are also required.
The Data Platform Developer will be responsible for building and maintaining new machine learning platforms, managing data pipelines and the machine learning model workflow for Geotab’s internal models. They will also devise new methodologies and infrastructure for reconstructing and enriching data at scale, supporting internal data scientists in building, training, and deploying machine learning models, and developing processes for logging, monitoring, and alerting services to ensure the health of the machine learning platform.
Telematics and fleet management solutions provider
Geotab provides fleet management solutions that help businesses optimize their vehicle operations through telematics and data analytics. Their products include hardware devices, like GO devices, and software that collects and analyzes vehicle data. This data helps clients with route planning, monitoring driver behavior, improving fuel efficiency, and managing vehicle maintenance. Geotab stands out from competitors by offering a scalable platform suitable for fleets of all sizes and a subscription model that ensures ongoing updates and support. The company's goal is to enhance operational efficiency and safety for a diverse range of clients, including commercial fleets and government agencies.