Data Science Leader for Innovative Fleet Management

1 week ago

Oakville, Ontario, Canada Geotab Inc. Full time
About the Role

We are seeking a highly skilled Data Science Leader to join our team at Geotab Inc. as a key member in advancing the future of transportation and connected vehicles.

Company Overview

Geotab is a global leader in IoT and connected transportation, certified as a Great Place to Work. Our company values diversity, innovation, and employee well-being, providing a dynamic work environment that encourages collaboration and growth.

Job Description

The successful candidate will lead data modeling processes, exploring and examining data from multiple sources to design and construct prototypes, algorithms, predictive models, and custom analyses. Key responsibilities include:

  • Providing expert project leadership as a subject matter expert, guiding team members and participating in cross-departmental projects to deliver high-quality, data-driven results.
  • Collaborating with cross-functional teams, including product managers, data analysts, data scientists, developers, user experience analysts, and external stakeholders to gather requirements, build technical consensus, and drive data products to production.
  • Owning the design, development, monitoring, and maintenance of scalable models.
  • Testing the performance of models/data products and making recommendations for improving Geotab's product suite.
  • Taking responsibility for the technical output of a project.
  • Conducting experiments to identify causality for data anomalies.
  • Staying up-to-date on the latest research in data science and proposing innovative ideas and techniques to advance the field in our business domain.
  • Contributing to defining strategic direction, planning the roadmap, and synthesizing feedback to ensure team success.
  • Mentoring multiple Data Scientists and advising managers with insights and recommendations to improve the technical team.
  • Owning responsibility for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
Required Skills and Qualifications

To succeed in this role, you will need:

  • A degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related field.
  • 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 working with large amounts of data in SQL.
  • Proficiency 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.
Benefits

We offer a competitive salary range of $140,000 - $180,000 per year, depending on location and experience, along with a comprehensive benefits package, including:

  • Flexible working arrangements.
  • Home office reimbursement program.
  • Baby bonus and parental leave top-up program.
  • Online learning and networking opportunities.
  • Electric vehicle purchase incentive program.
  • Competitive medical and dental benefits.
  • Retirement savings program.
About Us

At Geotab, we value diversity, innovation, and employee well-being, providing a dynamic work environment that encourages collaboration and growth. We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. If you require accommodation at any stage of the application process, please contact us.

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