Senior Data Scientist
Quick Summary
As a Senior Data Scientist your key area of responsibility will be designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions,
Implement new statistical or mathematical meth
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Data Scientist who will explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. If you love technology, and are keen to join an industry leader — we would love to hear from you!
Responsibilities
~1 min readAs a Senior Data Scientist your key area of responsibility will be designing, developing, and maintaining ongoing metrics, reports, analyses, and dashboards to drive key business decisions, providing expert project leadership as a SME, and participating in cross-departmental projects establishing Geotab as a leader in data science. You will need to work closely with internal technical teams and external stakeholders to gather requirements.
To be successful in this role you will be a strong team-player with the ability to engage with all levels of the organization, and will possess strong analytical skills with the ability to problem solve to well-judged decisions. In addition, the successful candidate will have strong project management skill and be able to identify needs, develop effective solutions, and manage projects through to completion.
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Implement new statistical or mathematical methodologies for specific models of data analysis.
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Create algorithms and predictive models to extract information required to solve complex business problems.
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Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
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Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization.
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Use machine learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
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Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
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Collaborate with internal technical teams and external stakeholders to gather requirements.
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Build production datasets and help customers solve business problems.
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Bachelors degree in Data Science, Mathematics, Computer Science, Statistics, or a related field (Masters degree is an asset).
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5 - 8 years of experience in a Data Scientist, Computer Vision Engineer, or ML Engineer role.
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A solid grasp of fundamental computer vision concepts, with proven experience building and deploying computer vision or video analytics pipelines in production environments using Python.
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Hands-on experience with Vision Language Models (VLMs), large multi-modal models, and optimizing deployment across both cloud-based inference infrastructure (e.g., Ray, Vertex AI, Azure) and edge processing environments.
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Proficiency in writing SQL queries and working with large-scale data (BigQuery, Spark).
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Experience with evaluation framework design, including ensemble voting approaches and ground truth management.
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Excellent communication skills for effective collaboration across product, platform, and data science teams.
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Familiarity with 3D reconstruction and LiDAR technologies is considered a strong asset.
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 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.
Location & Eligibility
Listing Details
- Posted
- July 30, 2026
- First seen
- July 30, 2026
- Last seen
- July 31, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 72%
- Scored at
- July 30, 2026
Signal breakdown

Geotab Inc. is a telematics leader in the fleet management industry, providing innovative solutions that enhance vehicle tracking and operational efficiency for clients globally.
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