Job Description :
- Build predictive models, develop advanced algorithms that extract and classify information from large data-sets quantify model performance.
- Analyze data, develop robust statistical algorithms/models that drive the product outputs.
- Apply various statistical techniques like, regression including logistic and OLS, clustering, optimization, classification and forecasting techniques in model development.
- Working experience in machine learning techniques (neural net, SVM, random forest etc.) is a plus point.
- Create meaningful analysis and modelling outputs that can be easily understood by clients and practically implemented to drive uplifts in performance
- Use a range of structured and unstructured data and tools (including transitional text, speech and digital analytics) as required to meet project objectives Maintain our analytical engines to ensure that day to day they deliver the functionality required by analysts and operations.
Education :
- Masters degree or equivalent in Computer Science, Artificial Intelligence, Machine Learning, Applied Statistics, Mathematics, Physics, Engineering or related field.
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