Job Description

  • Use predictive modelling to increase and optimize power generation, price, cost savings, customer experiences and other business outcomes.

  • Experience in statistical modelling, machine learning, probability theory, algorithms. data mining, unstructured data analytics and natural language processing.

  • Expertise in machine learning techniques such as Clustering, Regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, dimensionality reduction, SEM, GLM, GLMM, Deep learning, Neural Network, Topic Modelling, Multivariate Statistics, K-NN, Naïve Bayes etc.

  • Working knowledge of popular Deep Learning architectures and theory, simulation, scenario analysis, constraint optimization, anomaly detection, semi-supervised machine learning, unsupervised learning algorithms using deep learning etc.

  • Experience with optimization techniques (Linear Programming, Genetic Algorithm, Sim. Annealing, MC Si...

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