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 Senior Data Scientist to explores and examines data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

The Senior Data Scientist explores and examines data from multiple sources in order to design and construct new data modeling processes using prototypes, algorithms, predictive models, and custom analyses. This position utilizes strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals. You will need to work closely with Data Scientists, Data Engineers, and Product Managers to build datasets, pipelines and systems to support end-customer reporting and platform-related products.

How you'll make an impact:

• Implement new statistical or mathematical methodologies for specific models of data analysis.
• Provide expert project leadership as a SME: guidance to team members and participate in cross-departmental projects establishing Geotab as a leader in data science.
• Create algorithms and predictive models to extract information required to solve complex business problems.
• Conduct causality experiments by applying A/B experiments or epidemiological approach to identify the root issues of an observed result.
• Identify new, complex queries from Big Data infrastructure from data warehousing database (i.e. Google BigQuery) to add value to the organization.
• Use machine learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
• Use orchestration tools (e.g. Airflow) to develop automated data pipelines for scalable fleet management reporting
• Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
• Collaborate with internal technical teams and external stakeholders to gather requirements.
• Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions.
• Build production datasets and help customers solve business problems.
• Perform data validation and data quality checks on our data environment

What you'll bring to the role:

• 3-year US Residency is required.
• Ability to pass a comprehensive background check , including a drug test.
• Ability to pass a credit check.
• 5-8 years of experience as a Data Scientist or similar role.
• 5-8 years experience in writing SQL queries.