Responsibilities:Work with a team of data scientists and analysts to achieve business and technical objectives.Research novel solutions to such issues and present these solutions to the team and business stakeholders.Use any technique feasible to solve the problems at hand, including, but not limited to Machine Learning, Segmentation and Anomaly Detection.Own the solution from inception to production code.Assess your solutions business impact and present it to relevant stakeholdersSQLData SciencePythonScalaQualificationsBasic qualifications:Degree in a quantitative field - computer science, statistics, economics, mathematics, etc.2+ years of professional full-time experience as a data scientistHigh Proficiency with SQL and at least one of the following programming languages: Python, R, ScalaHands-on experience in Machine Learning, Statistical Models and data-heavy algorithmsStrong understanding of data structures, algorithms complexity and performance considerations at scalePreferred qualifications:Experience with CVM and/or Financial Systems