• Creative thinkers who are driven, self-motivated, and eager to solve challenging problems
• Very Good Knowledge on Python / R programming (at least 3 years of programing experience).
• Able to program with functions/methods, knowledgeable in Object oriented approach
• Added expertise in working with large data set, time series data, unstructured dataset, proficiency in NLP, etc., would be of help
• Knowledge about statistical reporting/exploratory analysis/Data Science Models
• Experience with enterprise integration tools
• Java/JEE, Microservices, Spring boot, RESTful, JSON, API management, Swagger, etc.
• Experience on Containerization, DevOps, Docker, Kubernetes & cloud experience

Good to have

• Masters or PhD in Statistics, Physics, Applied Mathematics Computer Science/Machine Learning, or other quantitative field (or related subject)
• Working knowledge of forecasting and data mining techniques, such as linear and non-linear regression analysis, neural networks or support vector machines
• Knowledge on Automating and deploying an end-to-end reporting dashboard would be helpful.
• Having knowledge on any of Cloud architectures(AWS/ Azure/ Google) with Micro services development would be helpful