Who is Geotab:

Geotab, a global leader in connected transportation and IoT, is one of the fastest-growing technology companies in North America and a certified “Great Place to Work.” Each day, Geotab processes billions of data points from over 1.8 million connected vehicles. Geotab extracts actionable insights from this data, empowering businesses to track and manage fleets of every size. Geotab’s hardware devices, software platforms and applications help keep drivers in over 130 countries compliant, safe and efficient. Global demand for telematics is increasing and Geotab is leading the way. Are you ready to join us? To see what it’s like to be a Geotabber, follow us @InsideGeotab on Instagram, Twitter or Facebook today!

Who we are looking for:

We are looking for Data Scientists who can help us discover value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots and uncover opportunities that lie hidden within, all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you are a Data Scientist or a Data Science aspirant who knows how to extract meaning from and interpret data - we would like to hear from you!

What are the details of this position:

As a Data Scientist you will be a crucial part of producing innovative analytics from Geotab’s big data environment. Geotab’s systems process over 40 billion data records per day from over 1.5 million vehicles in 100+ countries across the globe. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets categorized under Weather, Urban Infrastructure and Location Analytics. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence and statistical analysis tools to build models and high quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.

Geotab Data Scientists share a common passion for finding simple solutions for complex problems. You do too!

Our Technology Stack :

We leverage the Google Cloud Platform (GCP) as our big-data environment. Most of our development work happens in Python, leveraging various big data and data science tools in GCP (e.g. Dataflow) as well as from the open-source community (e.g. JupyterLab).

Python Modules : numpy, scipy, theano, keras, pytorch, pandas, matplotlib, xgboost, scikit-learn, nltk, seaborn, networkx, osmnx

Big Data Tools : JupyterLab, TensorFlow, Apache Spark , Beam, Dataflow, Airflow

Google BigQuery, Kafka, Kubernetes

PostgreSQL

Meet your future co‑workers

See what's happening @InsideGeotab