parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in more »
ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, RandomForest, XGBoost etc.- Basic understanding of Neural network and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should more »
Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, RandomForest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of more »
Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, RandomForest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of more »
similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, RandomForest etc. models Experience in data research with strong statistical skills Experience in software design and development using Python, Pandas and SQL/ more »
