Details:

- Ability to understand business problems and design advanced statistical and analytical solutions independently 

- Should be able to decide on the best machine learning/modeling/analysis techniques and provide actionable insights/ model algorithms to the business 

- Demonstrated expertise in machine learning and advanced modeling techniques like Neural Networks, Deep learning, Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Logistic, Regression etc 

- High level of proficiency in statistical tools and programming environments like Python, R, SAS, Big Data platforms like GreenPlum, Hadoop & Spark etc. 

- Experience with Hadoop, relational databases and SQL is preferred. 

- Exposure to Deep Learning applications and tools like Theano, Torch, Caffe and TensorFlow is preferred. 

Candidate Description: 

- 4 years of relevant experience with an organization known for its cutting edge/ best-in-class applicability of advanced analytics and predictive modeling techniques 

- Master's Degree / PhD in a quantitative field (e.g., Computer Science, Economics, Engineering, Mathematics, Finance, Statistics, Operations Research)

Min. Qualification:

pg

Skills Required:

hadoop, K-NN, logistic, machine learning, neural network, python, r, random forest, sas, statistical modeling