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. 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 analyzing trends to make improved decision-making in producing effective customer-facing products. You will need to work closely with internal technical teams to gather requirements. To be successful in this role you will be a strong team-player with high accuracy, meticulous attention to detail, and an entrepreneurial mindset comfortable in a flat organization. In addition, the successful candidate will have strong analytical skills with the ability to problem solve well-judged decisions, manage multiple tasks and projects simultaneously, and stay relevant to technology to adapt to growing market demands.
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.
- Consistently demonstrate Geotab’s Core Values in all daily work and interactions.
- Responsible for the contribution and maintenance of the departmental Wiki.
- 1-5 years experience as a Data Scientist or a similar role.
- Post-secondary Degree/Diploma with specialization in Mathematics, Computer Science, Statistics, or a related field.
- 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), along with experience in machine learning techniques (e.g. Scikit-learn, Tensorflow).
- Comfortable integrating diverse AI models and productivity tools to accelerate project deliverables.
- Understanding of machine learning and operations research, with experience using/building business intelligence tools (e.g. Tableau) and data frameworks.
- Technical competence using software programs, including Google Suite for business (Sheets, Docs, Slides); experience in a high-technology industry is an asset.
- Strong analytical, organizational, and team-player skills with high attention to detail and an entrepreneurial mindset.
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Skills Required
- 1-5 years of experience as a Data Scientist or in a similar role
- Post-secondary degree or diploma in Mathematics, Computer Science, Statistics, or a related field
- Knowledge of Python, SQL, C++, and object-oriented programming
- Knowledge of Big Data tools and data mining or data warehousing programs, including Google BigQuery
- Experience with machine learning techniques and tools such as Scikit-learn and TensorFlow
- Experience integrating diverse AI models and productivity tools
- Understanding of machine learning and operations research
- Experience using or building business intelligence tools such as Tableau and data frameworks
- Technical competence using software programs, including Google Sheets, Docs, and Slides
- Experience in a high-technology industry
- Strong analytical, organizational, teamwork, problem-solving, and attention-to-detail skills
- Entrepreneurial mindset and ability to manage multiple tasks and projects
GEOTAB Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about GEOTAB and has not been reviewed or approved by GEOTAB.
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Healthcare Strength — Coverage includes medical, dental, vision, life, disability, and an EAP as part of a comprehensive core package. U.S. offerings are presented as competitive and consistently paired with other core protections.
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Retirement Support — Offerings include a 401(k) with company match in the U.S., with RRSP or pension alternatives in other regions. Retirement savings support is treated as a standard component of total rewards.
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Parental & Family Support — A distinct “baby bonus” for birth or adoption stands out among family‑focused perks. Certain postings and summaries also reference parental leave top‑ups and related supports.
GEOTAB Insights
What We Do
Welcome to Geotab, the #1 commercial telematics company in the world. Geotab is a place where passion, creativity and innovation align. We are committed to advancing technology, empowering businesses and making the roads safer for everyone. Geotab is the world’s leading connected vehicle company for fleets, providing open platform fleet management solutions to businesses of all sizes. Geotab’s intuitive, full-featured solutions are used by over 40,000 customers around the world to help them better manage their drivers and vehicles. With Geotab devices found in over 2 million vehicles, the company processes over 30 billion data points each day to provide insight into productivity, safety, fuel efficiency and more. Geotab’s employees are essential to our success! We strive to put our employees first and are constantly seeking ways to improve workplace culture. Maintaining our unique culture is vital - after all, staff that enjoy their work environment are motivated to reach their full potential. Employee growth and development has long been the basis of our philosophy, as staff are encouraged to carve their own path within the expanding organization. Challenging the status quo and seeking creative ideas is what we do best.
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