Data Scientist

Experience Experience with statistical modeling and inference (OLS, GLM, Multinomial Logistic Regression, Choice models) Experience with linear and nonlinear regression models, hyperparameters tuning Experience working in an Agile development environment Understanding of development and service delivery/management frameworks (e.g., DevOps, Agile, SRE, ITIL, etc.) Understanding of related emerging technologies tools and platforms Required skills Deep understanding of A/B testing Deep understanding of advanced statistics, probability, information theory, optimization, complex systems, Markov chains, game theory, Monte-Carlo methods, etc. Well versed in AI/data science landscape of technology tools, platforms, and related service provider ecosystem Experience implementing AI/data science algorithms using one or more of the modern programming languages/frameworks (e.g., Python, Pandas, Scikit-learn, TensorFlow, Scala, Kera’s, Gluon, Caffe, Mx Net, etc.)