Data Scientist/ R-Shiny Developer

You will be expected to play a key role in driving the future business road map of the company. We are looking to hire people who are looking to contribute, enhance their skills in latest technology areas and are ready to work in an extremely challenging and fun place to deliver results in very aggressive timeline. Experience with common data science toolkits/frameworks like Python, R, R-Shiny, NumPy, Keras, Flask, scikit-learn, Tensorflow, Pandas, Numpy, Matplotlib, Seaborn, PyTorch. Very good understanding of various modeling approaches, statistical techniques and implementation strategies. Excellent understanding of machine learning techniques – Classification (SVM, Decision Trees, Naive-Bayes) and Regression (linear, polynomial) algorithms. Expertise in data mining & text mining (NLP/NLU). Demonstrate experience in unsupervised techniques (clustering and anomaly) and also in time-series analysis and Forecasting. Hands-on expertise in Voting Classifiers, XG-boost, neural networks, k-nearest neighbours, K-Means, Bayers, LDA. Experience in data visualization tools such as PowerBI, Tableau, D3.js, GGPlot etc. Good applied statistics skills such as distributions, statistical testing, regression etc. Understanding of Hadoop eco-system, Spark with Scala or Python.