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Must Have Skills

A demonstrated ability to solve challenging business problems using a data science approach by developing novel and/or adapting existing computational methods Experience in interacting with clients for requirement gathering Minimum 8 years of relevant experience in applying machine learning, deploying ML models and monitoring/support. Good knowledge in Azure ML and Jupyter Enterprise environment Model deployment and support Excellent communication skills A Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.

Expertise/Skills:

Machine Learning– Expert level Azure ML - Expert level Python- Pandas, Numpy, Scikit learn – Competent level

Good to Have Skills:

Data science experience in oil & gas industry will be an advantage Experience in any other cloud platform Experience in Visualization tools like PowerBI / Tableau

Responsibilities you would expect the Subcon to shoulder and execute*:

Understand current System Landscape deployed in production - models & algorithms, performance metrics, data sources, interfaces, library and version dependencies etc. Requirement gathering Document model deployment and support requirements Define detailed plan for building model deployment & monitoring scripts

Does this position require Visa independent candidates only? Yes