Data Scientist, Technical Trainer

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 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, Twitter or Facebook.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist, Technical Trainer who will be a crucial part as you will be accountable for training and enhancing knowledge of our Geotab customers, resellers, partners and employees. If you love working with big data, are passionate about training and are keen to join an industry leader — we would love to hear from you!
What you’ll do: 
You will work with Geotab’s Data and Analytics team who  is constantly producing deep analysis and insight into Geotab’s data infrastructure leveraging machine learning techniques. As a Data Scientist, Technical Trainer, you will create content and deliver sessions at our Bootcamps and Data Tech Talks that are designed to educate and train. You will deliver sessions on a variety of topics ranging from BigData, SQL, Python Coding, data analysis, machine learning and data visualization and  tailor teaching content for both internal and external  training. The ideal candidate will be an excellent communicator with a passion for training and public speaking.

How you’ll make an impact:

• Deliver training sessions at Getoab Data Bootcamps and conduct Data Tech talks on a regular basis for Geotab Customers, Resellers, Partners and Employees.
• Train customers, Resellers and internal employees, on a wide range of topics ranging from Big Data, SQL, python coding, data analysis, machine learning, deep learning, data visualization, etc.
• Develop, evaluate, and maintain cutting-edge technical curriculum and content for training experiences (on-boarding, continuous learning, bootcamps, etc.) relevant to audiences with a diverse set of educational backgrounds and industry experience.
• Tailor learning & development content to meet the needs of both internal  and external audiences.
• Lead by example as a data scientist, to be an excellent role model for our internal staff, customers and resellers.
• Coordinate with Data Engineering, Data Science, Data Product Discovery, Data Privacy and other teams across Geotab to identify training needs and contribute to the strategic learning & development roadmap.
• Participate in periodic training workshops to sharpen relevant skill-sets.

What you’ll bring to this role:

• Post-Secondary Degree in Computer Science, Mathematics, Electrical or Software Engineering or related field.
• 3-5 years experience as a Technical Trainer, preferably in a Data Science capacity. Extensive knowledge in R or Python data analysis.
• Proficient in Statistics and Machine Learning from both theoretical and applied perspectives.
• Knowledge of learning theories and instructional design models (e.g. ADDIE, SAM) and experience in curriculum development is highly valued.
• A good sense of the relevance of academic data science to industrial applications.
• Lead by example as a data scientist, to be an excellent role model for our internal staff, customers and resellers.
• Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
• Excellent verbal and written communication skills, including comfort with delivering presentations and training.
• Experience working within a technical or engineering organization/knowledge of the high-technology industry is an asset.
• Highly organized and able to manage multiple tasks and projects simultaneously.
• Project management skills; able to identify needs, develop effective solutions, communicate tasks to mobilize teams and manage projects through to completion.
• A strong team-player with the ability to engage with all levels of the organization.
• Technical competence using software programs, including, but not limited to, Google Suite for business (Sheets, Docs, Slides).
• Entrepreneurial mindset and comfortable in a flat organization.

Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonusHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits (full-time employees only)Retirement savings program (full-time employees only)

How we work:
At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Remote 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 careers@geotab.com. Click here to learn more about what happens with your personal data.