Geotab Careers

Data Scientist

Basis:

Full Time

Team:

Data Solutions

Location:

Oakville, ON, Canada

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
Duties and Tasks/Essential Functions
  • Interact with Geotab’s BigData Infrastructure on Google Bigquery using Python and SQL

  • Process, cleanse, and verify the integrity of data used for analysis

  • Select features and build and optimize classifiers using machine learning techniques

  • Use machine learning packages like scikit-learn and Tensorflow to develop ML models, features for ML models and visualize features

  • Interface with product managers, data engineers and software developers to gather requirements

  • Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc and deliver complete analytics/reporting solutions to drive key business decisions

  • Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models

  • Make recommendations for new metrics, techniques, and strategies to improve Geotab product suite

  • Support a platform providing ad-hoc and automated access to large datasets

Experience/Skills Required
  • Graduate or Postgraduate Degree in Computer Science, Software/Electronics/Electrical Engineering or any other related field

  • We welcome applicants from a range of experience levels with excellent understanding of Python and SQL

  • Experience with using parallelization tools like Apache Beam and Spark, and scheduling tools like Airflow is nice to have

  • Advanced pattern recognition and predictive modeling or Graph Data Modeling experience is a bonus

  • Experience with developing machine learning models and in feature engineering is a plus

  • Experience working with Google Compute Engine  and Google Bigquery is nice to have

  • A keen interest to make a positive impact in the community that we live in by  developing data driven smart city insights and urban analytics

What makes our staff passionate about Geotab?
  • Table Tennis at the office - bring your own bat!

  • Great accommodation (brand new office building, height-adjustable desks)

  • Light breakfast served daily

  • Hot lunches or fresh sandwiches served every Friday

  • Geotab-sponsored sports teams and social events

  • Full medical benefits and 4% company matching RSP (full-time employees only)

Our Core Values
Geotab is shaping the future of telematics. Using leading technology, we embrace change and challenge the status quo. To stay ahead of the curve, we keep Geotabbers energized with data bootcamps, course subsidies, Friday lunches, and more. We believe collaboration leads to innovation; our teams stretch across floors, cities and continents. All employees, from the CEO to the summer students, maintain an open-door policy. Whether we’re fine-tuning our products, or boosting our office culture, we’re building a foundation for long-term success. To us, this means safer roads, more efficient fleets and a team of dynamic Geotabbers!
Geotab encourages applications from all qualified candidates. Geotab is committed to accommodating persons with disabilities throughout the interview, selection and employment process. If you require accommodation at any stage of the application process or want more information about our accommodation policies and practices, please contact us at (416) - 434 4309.

See what's happening @InsideGeotab