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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 Minimum 6 years of relevant experience in applying machine learning, deploying ML models and monitoring/support. Strong experience in Python, JupyterHub Hands on experience in Azure ML Model deployment and support Strong skills in communicating and presenting data-derived insights to non-technical audiences appropriately. A Masters or Ph.D. in Mathematics, Statistics, Computer Science, Operations Research, Engineering Science.

Expertise/Skills:

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

Good to Have Skills:

Data science experience in oil & gas industry will be an advantage Experience in any other cloud platform Exposure to databases like Oracle, SQL server Experience in Visualization tools like PowerBI / Tableau

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

Develop production ML pipelines if not available Develop Model Monitoring scripts & dashboards Develop automated alerts for issues in ML pipeline or model performance deviation Perform Model Deployment in production environment (Azure) Perform Model Refresh Monitor Model Performance Perform Model tuning Tune monitoring scripts and reporting dashboards Model Version & Configuration Management

Does this position require Visa independent candidates only? Yes