Data Scientist

Oakville, ON, Canada

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Geotab Inc.
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Posted 2 weeks ago

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. 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.
Who you are: 
We are looking for Data Scientists who can help us discover value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots and uncover opportunities that lie hidden within, all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you are a Data Scientist or a Data Science aspirant who knows how to extract meaning from and interpret data - we would like to hear from you!  
What you'll do: 
As a Data Scientist you will be a crucial part of producing innovative analytics from Geotab’s big data environment. Geotab’s systems process over 40 billion data records per day from over 1.5 million vehicles in 100+ countries across the globe. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets categorized under Weather, Urban Infrastructure and Location Analytics. You will leverage data mining techniques, Machine Learning, Deep Learning, Neural Networks and other Artificial Intelligence  and statistical analysis tools to build models and high quality prediction systems to help our customers make informed and smarter decisions. You will work closely with Data Analysts, Data Engineers, Professional Services, Data Privacy & Governance, firmware  as well as other internal departments such as Software Development and Solutions Engineering to achieve these objectives.
Geotab Data Scientists share a common passion for finding simple solutions for complex problems. You do too!
Our Technology Stack : 
We leverage the Google Cloud Platform (GCP) as our big-data environment. Most of our development work happens in Python, leveraging various big data and data science tools in GCP (e.g. Dataflow) as well as from the open-source community (e.g. JupyterLab). 
Python Modules :  numpy, scipy, theano, keras, pytorch, pandas, matplotlib, xgboost,  scikit-learn, nltk, seaborn, networkx, osmnxBig Data Tools : JupyterLab, TensorFlow, Apache Spark , Beam, Dataflow, AirflowGoogle BigQuery, Kafka, KubernetesPostgreSQL

How you’ll make an impact:

  • Interact with Geotab’s BigData Infrastructure on Google Bigquery using Python and SQL.
  • Process, cleanse, and verify the integrity of data used for analysis.
  • Select features and build and optimize classifiers using machine learning techniques.
  • Use machine learning packages like scikit-learn and Tensorflow to develop ML models, features for ML models and visualize features.
  • Interface with product managers, data engineers and software developers to gather requirements.
  • Own the design, development, and maintenance of ongoing metrics, reports, analysis, dashboards, etc and deliver complete analytics/reporting solutions to drive key business decisions.
  • Use data mining, model building, and other analytical techniques to develop and maintain customer segmentation and predictive models.
  • Make recommendations for new metrics, techniques, and strategies to improve Geotab product suite.
  • Support a platform providing ad-hoc and automated access to large datasets.

What you’ll bring to this role:

  • Graduate or Postgraduate Degree in Computer Science, Software/Electronics/Electrical Engineering or any other related field
  • 2 + years of applied reserach experience with excellent understanding of Python and SQL
  • Experience with using parallelization tools like Apache Beam and Spark, and scheduling tools like Airflow is nice to have
  • Advanced pattern recognition and predictive modeling or Graph Data Modeling experience is a bonus
  • Experience with developing machine learning models and in feature engineering is a plus
  • Experience working with Google Compute Engine  and Google Bigquery is nice to have
  • A keen interest to make a positive impact in the community that we live in by  developing data driven smart city insights and urban analytics
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonusHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits (full-time employees only)Retirement savings program (full-time 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. Remote 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!
Geotab encourages applications from all qualified candidates. Geotab is committed to accommodating persons with disabilities throughout the interview, selection and employment process. If you require accommodation at any stage of the application process or want more information about our accommodation policies and practices, please contact us at
Job tags: Airflow Big Data BigQuery Data Analytics Data Mining Deep Learning Engineering Kafka Keras Machine Learning Matplotlib ML NLTK NumPy Pandas Python PyTorch Scikit-Learn SciPy Seaborn Security Spark SQL TensorFlow Theano XGBoost
Job region(s): North America
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