Deskripsi Pekerjaan

The candidate is responsible to - Create a prediction model using networks, etc.; - Perform anaylsis and hypothesis construction using technologies such as statatistical analysis and clustering, data analysis, algorithm implementation, machine learning (decision tree, logistics regression, random forest, naive Bayes classifier, k-nearest neighbor method, k-means method, neural network) at client destinations (various industries such as IT, manufacturers, finance, and services).