Lead Data Scientist, ITS

at  Geotab

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. Join our talent network to learn more about job opportunities and company news.

WHO YOU ARE:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Lead Data Scientist, ITS who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals

WHAT YOU’LL DO:

The Lead Data Scientist, ITS will explore and examine data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses.

WHAT YOU’LL BRING TO THE ROLE

• Data Scientist or similar role.
• Thorough knowledge of relevant programming languages (primarily Python, SQL), object-oriented programming principles, Big Data tools and Data Mining/Warehousing Programs (preferably Google Cloud BigQuery).
• Experience with model experimentation, deployment, and monitoring in large-scale cloud-based production systems.
• Experience in working with large amounts of data in SQL.
• Proficient in building models using common Python libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
• Experience with building, training, and deploying predictive models.
• Experience with AirFlow, Beam, Spark, BigQuery and other cloud based and distributed technologies to scale machine learning models and workflows will be an asset.
• Experience with various supervised and unsupervised machine learning methodologies in areas common to the business such as anomaly detection, time series forecasting, clustering, event prediction, and other areas.
• Relevant industry experience in order to reach the competencies outlined and to demonstrate varied experience in a wide range of problems, pressures, and scenarios on a consistent basis.
• Experience working within a technical or engineering organization; knowledge of the high-technology industry is an asset.
• Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Equivalent combination of education and/or work experience in related field may be substituted.
  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.