Details:

• Preferable 8+ years (minimum 6) of working experience in statistical modelling and/or machine learning techniques
• B.Tech, M.Tech, MSc or PhD degree in the field of Computer Science, Machine Learning, Applied Statistics, Operations Research, Econometrics, Mathematics
• Experience in Statistical Learning: Predictive & Prescriptive Analytics, Parametric and Non-parametric models, Regression modeling- logistic, mixed, GLM, genmod, lasso , Time Series modeling, ARIMA, CART/CHAID, Clustering, etc
• Experience in Machine Learning, supervised and unsupervised: Forecasting, Classification, Optimization algorithms, Decision Trees, Adaptive Decision Algorithms, Random Forest, XGboost, SVMs, Neural Networks, Deep Learning Algorithms, etc
• Experience in BI/Visualization tools such as Tableau, Qlikview, PowerBI, Cognos, SAS Visualizations, etc
• Advanced programming skills in at least two of the following languages: R/Python (mandatory), SAS, SQL, Java, MATLAB, Scala, Spark, Hadoop stack
• Experience in Git, Jira, ETL tools such as Informatica, SQL SSIS, Pentaho, etc  is preferred  
• Experience on setting up and working on cloud platforms infrastructure stack – Azure, GCP, Amazon is preferred
• Strong presentation and project management skills
• Ability to explain complex analytical concepts and solutions to business and operational teams
• Experience in leading teams and mentoring team members

Min. Qualification:

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Skills Required:

arima, business intelligence, classification, clustering, cognos, decision trees, deep learning, forecasting, hadoop, java, machine learning, mathematics, matlab, neural network, optimization, pentaho, Power BI, python, qlikview, r, random forest, regress