Who is Geotab:
Geotab, a global leader in IoT and connected transportation, collects rich location, engine and vehicle behavior data to provide valuable insights for customers. Geotab is deployed worldwide in over 130 countries and is utilized by more than 40,000 customers to collect data from immovable assets through to large trucks and the latest available electric vehicles. Global demand for telematics is increasing and Geotab is rising to the challenge. Are you ready for the challenge? If so, visit us at www.geotab.com/careers or follow us on @InsideGeotab.
Who are we looking for:
We are looking for amazing talent who can contribute to our efforts and deliver results! Geotab is seeking a Co-op Student who will immediately contribute to the organization and the Data and Analytics team efforts. If you love technology and analysis, are well organized, and are keen to join an industry leader — we would love to hear from you!
What are the details of this position:
As a Data Science Co-op you will work alongside a team of fellow Data Scientists on Geotab’s Data & Analytics team. This technical department is responsible for producing insight from Geotab’s big data environment, which streams and ingests 3.5 billion data records per day from over 1.3 million vehicles in 85 countries across the globe. Your day-to-day will consist of working closely with data scientists and data engineers to mine data and build models to support the development of new data driven solutions.
To be successful as a Data Scientist you will be both a big picture thinker as well as interested in the details, with the capacity to bridge the gap between technical prowess and business value. The results of your analysis will be developed into customer-facing data products, so an important part of this role will be your ability to understand how our partners and customers can directly benefits from the analysis performed. In addition, the successful candidate will have strong analytical and project management skills with an ability to develop effective solutions, and manage projects through completion.
Duties and Tasks/Essential Functions:
- Use SQL and Python to interact with Geotab’s big data infrastructure
- Leverage learning packages like scikit-learn and Tensorflow to develop ML models
- Develop new features for ML models and visualize features
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Use data mining, model building, and other analytical techniques to develop new datasets and data driven solutions
- Make recommendations for new metrics, techniques, and strategies to improve Geotab’s product suite
- Completing a University degree in Engineering, Computer Science, Math or a related field.
- Strong communication, organization, and time management skills, as well as a willingness to learn and strong work ethic.
- Experience using SQL.
- Experience using Python.
- Experience working with machine learning algorithms and big data tools is an asset.
What makes our staff passionate about Geotab?
Table Tennis at the office! Bring your own bat!
Great accommodation (height adjustable desks)
Light breakfast served daily (cereals, bars and fresh fruit)
Hot lunch or fresh sandwiches served every Friday
Geotab sponsored sports teams, dress up days, fun social events
Full medical benefits & 4% company matching retirement savings plan
Our Core Values:
Geotabbers innovate and seek creative ways to continuously improve. Collaboration and teamwork defines the way we work. We love being ahead of the curve, using leading technology, and being agile in every way we do business. We work hard, and we definitely play hard. From the CEO – to the staff – there is an open-door policy for all of us to freely communicate. Geotabbers are dynamic, and enjoy working in a fast-paced work environment. We own our work and take responsibility in a true entrepreneurial spirit!
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.