Responsibilities:
• Independently drive the projects, leading teams of 1-3 analysts in a dual-shore model
• Data modeling using advanced methods in Machine Learning, Predictive Modeling, NLP
• Selecting features, building and optimizing classifiers using machine learning techniques
• Augment internal data with third party sources of information when needed
• Lead discussions with client stakeholders to understand business problems and formulate solutions
• Lead discussions with technology, data-warehousing, other internal teams to resolve issues, deploy the models etc.
Qualification:
• Master s/Bachelor s Degree in Analytics/Data Science/Statistics/Mathematics/Engineering/ Computer Science or related quantitative fields from top-tier universities with strong     academic record
• Excellent understanding of machine learning techniques and algorithms, such as GLM Models, Regularization, KNN, Naive Bayes, SVM, Decision Trees, Random Forest, NLP etc.
• 5+ years of Analytics/modeling experience working with large datasets
• Experience of Predictive Modeling/Machine Learning using Python/R/SAS/SQL
• Experience of building Natural Language Processing models/performing Text Analytics
• Demonstrated leadership ability and willingness to take initiativeOutstanding written and verbal communication skills
• Able to work in fast pace continuously evolving environment