Director Of Data Science

## About the role PhD or equivalent in one or more disciplines of EE/Computer Science(CS)/Industrial Data Science with Statistical background in applied Math, CS and Engineering with ability to quickly learn and implement R&D into products/platforms. Experience as AI/Machine Learning architect would be ideal. End-to-end data synthesis, structures and performance of data pipelines, systems & process model building to help holistic intelligence for decision making is essential. Working with a broad spectrum of data models and modeling techniques such as time-series analysis, computational graphs, Deep Learning, Interpretability of models for Live and Connected Enterprise Intelligence. The candidate is expected to have at least 9-12 years of industry + academic experience and exposure to recent innovations in AI/ML systems. ## Requirements - PhD or equivalent in one or more disciplines of EE/Computer Science(CS)/Industrial Data Science - Statistical background in applied Math, CS and Engineering - Ability to quickly learn and implement R&D into products/platforms - Experience as AI/Machine Learning architect - End-to-end data synthesis, structures and performance of data pipelines, systems & process model building to help holistic intelligence for decision making - Working with a broad spectrum of data models and modeling techniques such as time-series analysis, computational graphs, Deep Learning, Interpretability of models for Live and Connected Enterprise Intelligence - At least 9-12 years of industry + academic experience - Exposure to recent innovations in AI/ML systems