Data Scientist

Geotab•Oakville, ON

31d•Hybrid

About The Position

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. Join our talent network to learn more about job opportunities and company news. 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. This position collaborates with internal technical teams in analyzing trends to make improved decision-making in producing effective customer-facing products. If you love technology, and are keen to join an industry leader — we would love to hear from you! As a Data Scientist, your key area of responsibility will be designing and constructing Geotab’s data modeling processes, creating algorithms and predictive models to solve complex business problems, and generating queries from Big Data Infrastructure. You will also be responsible for developing Machine Learning models, testing product performance, and maintaining reports and dashboards to drive key business decisions. You will need to work closely with Geotab’s internal technical teams to gather requirements and ensure data-driven products meet expectations. To be successful in this role you will be a strong team-player with an entrepreneurial mindset who is comfortable in a flat organization and able to engage with all levels of the organization. In addition, the successful candidate will have strong analytical and problem-solving skills with high accuracy and meticulous attention to detail. The successful candidate will also be highly organized and able to manage multiple tasks and projects simultaneously to ensure timely results.

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

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 dataset.