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 high level individual contributor in a flat structure. 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 impact: Regularly 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 objectives. Work to continually establish and refine best practices in data analytics and data science coding standards. 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. 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. 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: Bachelors degree in a related field. 10+ years of 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. Previous experience working in geospatial related projects is an asset. 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). Strong problem-solving skills with statistical analysis in order to align data products with Geotab's organizational goals. Able to research and solve open-ended design problems. Focus on accuracy and meticulous attention to detail. Strong project management skills; able to identify business needs, develop effective solutions, and manage projects through to completion. A well-defined sense of diplomacy, including solid negotiation, conflict resolution, and relationship management skills. Exceptional verbal and written communication skills in both English and Spanish, including comfort with delivering presentations and training to both small and large groups, in-person and remotely. Ability to stay relevant and up-to-date with changing technology, data science methodologies, and market demands. Success with the coaching and technical development of employees. Strategic mindset; a keen sense of priorities, along with an ability to pivot as the landscape changes. 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. #J-18808-Ljbffr
