Data Scientist

Roles & Responsibilities

Ability to work independently to apply technical skills to solve a business objective Exploratory data analysis employing large data sets involving visualization and basic statistical techniques to develop intuitions and identify key variables in data science projects Data extraction and joining data from multiple sources; SQL is a must; Python preferred Strong familiarity and experience with Machine Learning algorithms; The Python Data Science stack is ideal (e.g. sklearn, etc); Regression, Clustering, SVM, Decision Trees, DNNs, Recommendation Algorithms, etc Specific experience sought: real-world A/B testing, multi-armed bandit algorithms, causal inference Ability to read and apply, with guidance, cutting edge Machine Learning research papers to solve business problems