Functional Responsibilities Identify valuable data sources and automate collection processes Undertake preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Propose solutions and strategies to business challenges Collaborate with engineering and product development teams Requirements and skills Proven experience as a Data Scientist or Understanding of machine-learning and operations research, Risk Analytics, Business analytics Knowledge of R, SQL and Python familiarity with Scala, Java or C++ is an asset Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills BSc/BA in Computer Science, Engineering or relevant field graduate degree in Data Science or other quantitative field is preferred You will work closely with cross-functional teams to align growth initiatives and improve user experience. If you have a proven track record in strong analytical skills, and the ability to thrive in a fast-paced environment, we encourage you to apply.
