Data Scientist

Oakville, ON, Canada

Applications have closed

Geotab Inc.

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.

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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 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, Twitter or Facebook. Join our talent network to learn more about job opportunities and company news.
At Geotab, all staff must be fully vaccinated in order to be eligible to work in our North American offices at this time. Accordingly, any job offer for an onsite position resulting from this posting will be conditional upon the successful candidate providing evidence of full vaccination. Accommodations may be made for those who cannot be vaccinated based on medical or other legally protected grounds. 
Geotab policies and requirements are subject to change based on local or federal guidelines.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist who will assist in the design and construction of Geotab's data mining and model building processes from vast amounts of raw data. This position collaborates with internal technical teams in analyzing trends to make improved decision-making in producing effective customer-facing products. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you’ll do:
As a Data Scientist your key area of responsibility will be to design and construct Geotab’s data modeling processes. You will also create algorithms and predictive models to extract information required to solve complex business problems. You will need to work closely with our internal technical teams.
To be successful in this role you will be a strong team-player with high accuracy and meticulous attention to detail. In addition, the successful candidate will have thorough knowledge of programming languages (e.g. Python, SQL, C++) and object-oriented programming. The successful candidate will also have strong analytical skills with the ability to problem solve to well-judged decisions.

How you’ll make an impact:

  • Design and construct Geotab’s data modeling processes.
  • Create algorithms and predictive models to extract information required to solve complex business problems.
  • Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
  • Use Machine Learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
  • Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
  • Collaborate with internal technical teams to gather requirements.
  • Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
  • Support a platform providing ad-hoc and automated access to large datasets.

What you’ll bring to this role:

  • 1-5 years experience as a Data Scientist or a similar role.
  • Understanding of machine learning and operations research.
  • Thorough knowledge of programming languages (e.g. Python, SQL, C++) and object-oriented programming.
  • Thorough knowledge of Big Data tools and Data Mining/Warehousing Programs (e.g. Google BigQuery). 
  • Experience with machine learning techniques (e.g. Scikit-learn, Tensorflow).
  • Experience using/building business intelligence tools (e.g. Tableau) and data frameworks.
  • Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset.
  • High accuracy and meticulous attention to detail.
  • Highly organized and able to manage multiple tasks and projects simultaneously.
  • Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
  • Strong analytical skills with the ability to problem solve to well-judged decisions.
  • Strong team-player with the ability to engage with all levels of the organization.
  • Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
  • Entrepreneurial mindset and comfortable in a flat organization.
If you don't see yourself fully reflected in every job requirement listed above, we still encourage you to apply.
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonus & parental leave top up programHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits Retirement savings program
*The above are offered to full-time permanent employees only
How we work:
At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. 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. Click here to learn more about what happens with your personal data.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Big Data BigQuery Business Intelligence Data Analytics Data Mining Data Warehousing Engineering Machine Learning ML models OOP Python Research Scikit-learn Security SQL Tableau TensorFlow

Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Startup environment Team events

Region: North America
Country: Canada
Job stats:  9  4  0
Category: Data Science Jobs

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