Data Scientist

Geotab•Oakville, ON

2d•CA$101,600 - CA$125,000•Hybrid

About The Position

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. This position collaborates with internal technical teams in analyzing trends to make improved decision-making in producing effective customer-facing products. 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.

Requirements

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 Big Data tools like Google BigQuery.
Experience with machine learning techniques (Scikit-learn, Tensorflow) and business intelligence tools (Tableau).
Strong analytical skills with the ability to problem solve and make well-judged decisions.
Highly organized and able to manage multiple tasks and projects simultaneously in a fast-paced environment.
Excellent technical competence using software programs, including Google Suite for business.

Responsibilities

Designing and constructing Geotab’s data modeling processes.
Creating algorithms and predictive models to extract information required to solve complex business problems.
Generating queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
Using Machine Learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
Testing the performance of data-driven products and making recommendations for improving Geotab’s product suite.
Collaborating 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.
Supporting a platform providing ad-hoc and automated access to large dataset.