Data Scientist - Product Analytics

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 Data Scientist, Product Analytics who will perform data analytics to answer tangible business needs and find meaningful insights. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Data Scientist, Product Analytics, your key area of responsibility will be to understand and translate product analytics metrics into queries and build dashboards and reports related to a wide range of Geotab products including Marketplace. You will need to work closely with the Data & Analytics, Marketplace and Product Marketing teams. To be successful in this role you will be a self-starter with strong written and verbal communication skills, have an eye for detail, good business acumen and ability to quickly understand complex, technical concepts. Previous experience with product analytics tools such as Pendo or Google Analytics is a plus.

How you'll make an impact:

• Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.
• Utilize statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions based on relevant findings.
• Write optimized SQL queries to find answers to complex business questions.
• Identify any data quality issues and partialities in data acquisition.
• Coordinate with the engineering team to gather incremental new data.
• Proactively identify trends in data as well as identify interesting correlations that suggest new product areas to invest in to increase our customer satisfaction.
• Design and construct Geotab’s data modeling processes.
• Create algorithms and predictive models to extract information required to solve complex business problems.
• Generate queries from Geotab’s Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
• Use Machine Learning (ML) packages (e.g. Scikit-learn and Tensorflow) to develop ML models and features.
• Test the performance of data-driven products and make recommendations for improving Geotab’s product suite.
• Support a platform providing ad-hoc and automated access to large datasets.
  

What you'll bring to the role:

• Post-secondary Diploma/Degree specialization in Data Science, Mathematics, Computer Science, Statistics, or related field.
• 1-5 years experience as a Data Scientist or a similar role.
• Understanding of machine learning and operations research.
• Thorough knowledge of programming languages (e.g. Python, SQL, C++) and object-oriented programming.
• Thorough knowledge of Big Data tools and Data Mining/Warehousing Programs (e.g. Google BigQuery).
• Experience with machine learning techniques (e.g. Scikit-learn, Tensorflow).
• Experience using/building business intelligence tools (e.g. Tableau) and data frameworks.
• High accuracy and meticulous attention to detail.
• Highly organized and able to manage multiple tasks and projects simultaneously.
• Must stay relevant to technology and should have the flexibility to adapt to the growing technology and market demands.
• Strong analytical skills with the ability to problem solve well-judged decisions.
• Strong team-player with the ability to engage with all levels of the organization

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 careers@geotab.com. 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.