Senior Applied Scientist - Oracle Health

Leading contributor providing guidance and mentorship to define, design and deliver product quality improvements from ideation stage to shipping to the customer. Write high quality code to power experiments and build models. Contributes to writing production model code. Work closely with product management and engineering to deliver products which solves the needs of our customers by building relevant, innovative results which strategically differentiates Oracle in the market. Set up environment needed to run experiments for all projects. Set up distributed environments. Engage with customers and help solve complex problems with the customer / partner. Directly impact our customers via innovation in products and services that make use of ML / AI technology. Clearly articulate technical work to audiences of all levels and across multiple functional areas. Keep track of the progress and ensure the team is following the best practices. Works on training data collection, feature engineering, model training, offline and online experimentation. Drives independent research and development. Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications. Ensure solutions are designed with fairness and explain ability in mind. May perform other duties as assigned.

Identify data science use cases and design scalable solutions that can be built as a feature of the product / service. Contributes to writing production model code. Work with Software Engineering teams to deploy them in production. Set up environment needed to run experiments for all projects. Set up distributed environments. Design and implement algorithms, train models, and deploy both to production to validate premises and achieve goals. Design and execute offline / online experiments and model performance testing. Work with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Address business / customer problems and questions using statistical and machine learning techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by team. Stay up-to date with research and trends regarding latest algorithms in ML or other industry / domain space. Perform research in emerging areas, which may include efficient neural network development including quantization, pruning, compression and neural architecture search, as well as novel differentiable compute primitives. May perform other duties as assigned.

Career Level - IC3