.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 modeling 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:As a Principal Data Scientist you will be influencing and delivering projects with organizational impact and priority, acting as a technical lead and mentor for the department as well as working hands on different projects. This role requires collaborating and building relationships with other data scientists, developers at all levels, contributing towards the development of the department's roadmap.How you'll make an impactRegularly communicate and work with senior management stakeholders and product managers to ensure that the product and technical roadmap aligns with Geotab's data capabilities and potential and shape priorities.Assist executive management in developing and evaluating the long-range impact of new programs and strategies affecting the Data and Analytics Department.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.Collaborate with cross-functional teams to identify business opportunities, solve complex problems, and leverage data-driven insights to inform decision-making processes.Participate in discussions with the CEO, department leads, or team leads as needed to assist in developing and attaining strategic objectivesWork to continually establish and refine best practices in data analytics and data science coding standardsServe 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.Provide project leadership and guidance to the team as a technical subject matter expert in data scienceKeep up-to-date documentation for all areas of responsibilityShare 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 teamTake 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
