Required Qualifications: Around 2 – 6 years of Data Science experience Experience in R, or Python or Spark (Mlib) Experience using Machine Learning Algorithms: Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Naive Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc. Working knowledge of tools like SQL, Excel Excellent communication and decision-making skills Strong analytical, problem solving and decision-making skills Bigdata knowledge is highly desired