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Added 51 mins ago
SAS Tech Lead
Aarorn Technologies Inc
Markham, ON
$70 CAD / hour
Contract
We are seeking an experienced SAS Technical Lead to support a large-scale SAS-to-Snowflake modernization and migration program. The ideal candidate should possess deep expertise in Base…
Added 2 hours ago
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Material Handler-2
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Under the responsibility of the Logistics Supervisor, the Material Handler I performs warehouse functions, which may include loading, picking, packing, shipping, receiving, forklift…
Added 7 hours ago
Staff Data Engineer
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Toronto, ON
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IT Solutions and Data Designer
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ERP Business Analyst
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Copy - Janitorial Maintenance Mechanic, Etobicoke
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Toronto, ON
Location: Working out of our Etobicoke warehouse but will support other locations throughout Ontario

Geotab

Data Scientist

Toronto, ON, Canada
Waterloo, ON, Canada

Pay: $104,400 - $135,700 CAD
Experience: 1-5 years experience as a Data Scientist or a similar role.
Posting language: English
Posted: Oct 1, 2026

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Original job description

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 Geotab 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.

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. 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.

What you'll bring to the role:

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.

If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

This posting is for an existing vacancy.

Why job seekers choose Geotab:

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

How we work:

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. 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. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice.

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.

Hiring Range

$104,400 - $135,700 CAD

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More about this job

Responsibilities

The Data Scientist will design and construct data modeling processes while creating algorithms to solve complex business problems. They will also collaborate with technical teams to develop metrics, reports, and dashboards that drive key business decisions.

Requirements

Candidates must have 1-5 years of experience and a post-secondary degree in Mathematics, Computer Science, Statistics, or a related field. Proficiency in programming languages like Python, SQL, and C++, along with experience in machine learning and big data tools, is required.

Skills

Data mining
Model building
Python
SQL
C++
Google BigQuery
Scikit-learn
Tensorflow
Machine learning
Tableau
Data warehousing
Predictive modeling
Data analysis
Object-oriented programming
Business intelligence

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Scientist
IoT
Connected transportation
Data mining
Machine learning
Big data
Google BigQuery
Python
SQL
C++
Scikit-learn
Tensorflow
Tableau
Data warehousing
Predictive models
Business intelligence
Object-oriented programming
Data analytics
Algorithms
Operations research
Google Suite
Hybrid work
Fleet management
Productivity
Data modeling

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