context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability to learn quickly, work efficiently with peers and communicate data clearly … diverse data science tools and approaches What we're looking for A degree or equivalent work experience in data driven field Ability to use visualization techniques for communicating data and analysis Experience of using any of the following to answer business or scientific questions -statistics, mathematics, machine learning, econometrics, causal ...