data science ( insigjhts and alalytics ).

DATA Science

Year of Exp : 5 to 8 yrs
Ability to structure business problems into proper methodical analysis frameworks
Can identify, develop and implement the appropriate statistical techniques, algorithms and data mining
Good exposure to exploratory analysis and knack of deriving business insights & value. Comfortable with exploring large data sets
Expert level knowledge in Natural Language Processing, Information Extraction and Text Mining algorithms.
Strong familiarity with Deep Learning methods for text analytics highly desired – RNN, LSTM , Word2Vec and other embeddings, Keras/Tensorflow and PyTorch.
Expert level knowledge in Machine Learning algorithms (Linear and Logistic Regression, SVM, Random Forest, Bayesian Methods, Unsupervised Learning, Reinforcement Learning, Online Learning, XGBoost) is a must.
Must have – Python, R, SQL, PySpark
Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout)
Bonus points for the implementation of visualization.