Job Description

1.   Should have hands on experience with Machine learning models like Logistics regression, Survival analysis model, Gradient Boost, Collaborative filtering, Bayesian, SVM, Random Forest etc.

2.   Prior experience in predictive modelbuilding using Python

3.   Excellent knowledge of Python (must)and other statistical tools like Pyspark/Scala

4.   Ability to translate Business Problem to a Statistical Problem and Statistical solutions to a viable Business solution.

5.   Ability to perform statistical modelling (predictive, regression, hypotheses testing, multivariate analysis, Time Series, Cluster, forecasting, ARIMA) using Python/Pyspark.