Data Scientist Intern (Winter/January 2027, 4 Months)

Internship List

Oakville

Hybrid

CAD 20,000 - 31,000

Full time

7 days ago
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Job summary

Geotab in Oakville, Ontario, is seeking a Data Scientist Intern who will contribute to data exploration, transformation, and productionization for a product pillar. If you love technology and want to join an industry leader, we’d love to hear from you.

You’ll design metrics and data models with prototypes, algorithms, and predictive models. Work with a team of data scientists and product managers to analyze trends and enable data-driven decisions.

Qualifications

  • Working towards a degree in engineering, mathematics, or computer science.
  • Interest or experience in sensor data and data cleaning.
  • SQL and Python experience.
  • Experience using a BI platform like Looker, or PowerBI. Superset specifically is an asset.
  • Willingness to learn and creative mindset.
  • Eager to experience working within a technical or engineering organization.
  • High accuracy and meticulous attention to detail.
  • Ability to work well under pressure and respond to fast changing priorities.
  • Highly organized
  • Strong team player

Responsibilities

  • Design and construction of new metrics and data models using prototypes, algorithms, predictive models, and custom analyses.
  • Analyze trends and enable data-driven decision-making to produce effective customer-facing products.
  • Pull data sets and assemble presentations and visualizations for strategic customers and early adopters.
  • Assist in dashboarding and visualizations for coverage and accuracy metrics for data science models.
  • Test the performance of data-driven products and make recommendations for improving Geotab's product suite.
  • Contribute to the sprint development and review cycle within your pillar's data science team.
  • Create algorithms and predictive models to extract information to solve complex business problems.
  • Generate queries from Geotab's Big Data Infrastructure (BigQuery).

Skills

SQL
Python
Looker
PowerBI
Superset

Education

Engineering/Math/CS degree

Tools

Google BigQuery

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 Intern who will contribute to data exploration, transformation, and productionization for one of our product pillars. 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 Intern your key area of responsibility will be the design and construction of new metrics and data models using prototypes, algorithms, predictive models, and custom analyses.


This internship position works closely with a team of data scientists, product managers, and other technical professionals to analyze trends, enable data driven decision-making, and produce effective customer-facing products.


The opportunity:


  • 4-month work-term beginning January 2027.

  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.


Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!


Learn more about the Geotab Campus Program here.


This posting is for an existing vacancy.


How you'll make an impact:


  • Pull data sets and assemble presentations and visualization for strategic customers and early adopters of new or in progress features

  • Assist in dashboarding and visualizations for coverage and accuracy metrics for data science models

  • Test the performance of data-driven products and make recommendations for improving Geotab's product suite

  • Contribute to the sprint development and review cycle within your assigned pillar's data science team

  • 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).


What you'll bring to the role:


  • Working towards a degree in engineering, mathematics, or computer science

  • Interest or experience in sensor data and data cleaning

  • SQL and Python experience

  • Experience using a BI platform like looker, or PowerBI. Superset specifically is an asset

  • Willingness to learn and creative mindset.

  • Eager to experience working within a technical or engineering organization.

  • High accuracy and meticulous attention to detail.

  • Ability to work well under pressure and respond to fast changing priorities.

  • Highly organized

  • Strong team player


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.

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