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. **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 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 Data Scientist assists in the design and construction of Geotab's data mining and model building processes from vast amounts of raw data. This position collaborates with internal technical teams in analyzing trends to make improved decision-making in producing effective customer-facing products. **How you'll make an impact**: - 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. - Collaborate with internal technical teams to gather requirements. - Responsible for the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards to drive key business decisions. - Support a platform providing ad-hoc and automated access to large datasets. **What you'll bring to the role**: - 2-5 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. - Experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset. - 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. - 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. 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**: **Other employment statements**: Geotab will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensatio