Job Description :
Good knowledge in statistics and deep understanding on ML algorithms and their usage
Working experience in end to end data science project life cycles from use case framing, data collection, data exploration, model building, deployment
Working experience in most of the common Machine Learning techniques related to Time series, Regression, Classification, Clustering, NLP, working with IoT data
Working Knowledge in Deep learning with different NN architectures like CNN, RNN, LSTM, GANs Auto encoders etc.
Knowledge of visualization tools like tableau, R Shiny with libraries to effectively communicate the results/inferences derived out of data science models
Good to have working exposure in common cloud environments and understanding of robust on premise data science infrastructure.
Nice to have understanding of big data related technologies and DevOps(Dockers, Singularity)

Thank you