Data Scientist

4 days ago


Newcastle upon Tyne, Newcastle upon Tyne, United Kingdom Oracle Full time
Job Title: Applied Scientist

At Oracle, we are seeking an exceptional Applied Scientist to join our team. As an Applied Scientist, you will be responsible for inventing, implementing, and deploying state-of-the-art machine learning and/or specific domain industry algorithms and systems.

Key Responsibilities:

  • Apply data science capabilities and research findings to create and implement solutions to scale.
  • Develop new intelligence around core products and services through applied research on behalf of our customers.
  • Design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.
  • Build cloud services that work out of the box for enterprises, including decision support, anomaly detection, forecasting, and recommendations.
  • Conversant on ethical problems in consideration of sciences.
  • Identify data science use cases and design scalable solutions that can be built as a feature of the product/service.
  • Contribute 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.
  • 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.

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