Principal Data Scientist

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 Principal Data Scientist with previous experience in Geospatial related projects to actively work on the designing of data modelling processes, as well as to actively contributing to broad technical strategies, decisions and processes that impact the delivery of analytical solutions.

What You'll Do

The Principal Data Scientist is primarily responsible for thought and technical leadership in data science, actively contributing to broad technical strategies, decisions and processes that impact the delivery of analytical solutions at Geotab. Part of this role involves influencing and delivering projects with organizational impact and priority, acting as a technical lead and mentor for the department and maintain Geotab’s reputation as a data science leader through the participation in public-facing talks and events, and meetings with external clients. This role requires collaborating and building relationships with other data scientists, developers at all levels, engineers, and internal technical teams in a mentorship role, and contributing towards the development of the department’s roadmap. The position supports the data science teams in data product development initiatives and acts as a technical guide in advanced modelling and r&d initiatives.

How you'll make an impact

• Oversee R&D initiatives across diverse data science teams, identifying opportunities for alignment, and addressing technical gaps and risks.
• Lead data labelling initiatives and develop robust model evaluation techniques to ensure high-quality and reliable outcomes.
• Continuously establish, refine, and enforce best practices in data analytics and coding standards within data science projects.
• Serve as a technical coach and mentor to teams across the department by actively playing a part in the formation of technical strategies, setting decisions and authoring methodology
• Enable legal team in identifying patent opportunities and novel machine learning concepts applied in the R&D team’s work
• Provide project leadership and guidance to the team as a technical subject matter expert in data science
• Keep up-to-date documentation for all areas of responsibility
• Share technical knowledge to large groups internally and externally, stay well-informed of the industry state-of-the-art, and bring ideas of new technologies, techniques, and practices to the team
• Take ownership of technical architecture, identify and contribute to the department’s technical strategy and roadmap, and execute to improve products, infrastructure and processes.
• Break down complex projects into simple systems that can be effectively built and maintained by less experienced data scientists/ developers.
• Collaborate and share technical knowledge across teams to influence Geotab’s ability to meet cross-functional company goals and achieve larger technical ambitions.
• Work with leadership to align the data science strategy with overarching vision, mission, and technical goals of the department.
• Design and implement systems and frameworks that can succeed long term and work well with other platforms at Geotab
• Stay aware of changes around the company to anticipate and prevent obstacles from hindering team performance.
• Become a peer to others across the department and drive inter-department technical engineering initiatives that improve product, infrastructure, and processes.
• Demonstrate Geotab’s core values and culture through collaboration across teams, encouraging recognition and engagement initiatives, attending company events, and demonstrating thought leadership in areas of expertise.
• Participate in the recruitment process.
• Work with people managers to evaluate the technical acumen of less experienced data scientists and plan growth opportunities.
  
  

What you'll bring to the role

• 12 + years of required previous experience in the following areas:
• Proven track record of leading complex data science projects from conception to delivery, preferably in a business or industry setting
• Geotab’s dominant programming languages for data science (i.e. Python, and SQL), with experience in other relevant languages an asset (e.g. R, C, JavaScript).
• Object-oriented programming principles.
• Big data data mining and warehousing programs (e.g. experience with Google BigQuery, Amazon Redshift, or Azure Synapse).
• Wide variety of supervised and unsupervised machine learning techniques for data exploration and deployment in production systems (e.g. DBSCAN, K-Means Clustering, KNN, DNN, CNN, XGBoost, Random Forest, SVM, Linear/Logistic Regression, Dimensionality Reduction).
• Common modules and packages for machine learning in Python (e.g. scikit-learn, SciPy, NumPy, TensorFlow).
• Orchestration platforms for data pipelines (e.g. Apache Airflow).
• Big data processing SDKs (e.g. Apache Beam, Apache Spark, Apache Hadoop).
• Experience working within a technical or engineering organization and knowledge of the high-technology industry is an asset.
• Leadership experience in a team-oriented workplace.
• Bachelor's in Data Science or a related field
  
  

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.

Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.

Why job seekers choose Geotab

Flex working arrangements

Home office reimbursement program

Baby bonus & parental leave top up program

Online learning and networking opportunities

Electric vehicle purchase incentive program

Competitive medical and dental benefits

Retirement savings program

• The above are offered to full-time permanent employees only
  
  

How we work

At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!

We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at [email protected]. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.