The ideal candidate's favourite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.ResponsibilitiesAnalyze raw data: assessing quality, cleansing, and structuring for downstream processingDesign accurate and scalable prediction algorithmsCollaborate with the engineering team to bring analytical prototypes to productionGenerate actionable insights for business improvementsQualificationsBachelor's degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.)At least 1 - 2 years of experience in quantitative analytics or data modellingDeep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithmsFluency in a programming language (Python, C,C++, Java, SQL)Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)