Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable.
Familiarity with Scala, Java, or C++ is an added advantage.
Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc.
Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras). Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis.
Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data ScientistEmployement Type: Full time