Sr. Data Scientist

Must have experience with Spark, Kubernetes, and telecommunication domains. Skill Set : 8 years of exp. Programming skills: - Python (with working experience in most of common libraries like Scikit, numpy, pandas, mathplotlib, keras, tensorflow /pytorch, nltk, genism, spacy etc) Good knowledge in statistics and math in 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, RCNNs, GANs, Transformers, VAE etc with strong hold on Pytorch or Tensrflow libraries. Knowledge of visualization tools like tableau and cloudera 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-premises data science infrastructure