[remote] Principal Applied Scientist

Oracle Oracle · Enterprise · United States

Principal Applied Scientist at Oracle, focused on inventing, implementing, and deploying state-of-the-art machine learning algorithms and systems for enterprise products and services. This role involves building prototypes, exploring new solutions, and applying data science to create scalable solutions, with a strong emphasis on customer needs and product delivery. Responsibilities include developing models, working with NLP, NLU, ASR, CV, designing experiments, optimizing risk/profitability/customer experience, and ensuring fairness and explainability. The role also involves mentorship, writing production-quality code, and driving independent research.

What you'd actually do

  1. Invent, implement and deploy state-of-the-art machine learning and/or specific domain industry algorithms and systems.
  2. Build prototypes and explore conceptually new solutions.
  3. Work collaboratively with science, engineering, and product teams to identify customer needs in order to create and implement solutions, promote innovation and drive model implementations.
  4. Applies data science capabilities and research findings to create and implement solutions to scale.
  5. Responsible for developing new intelligence around core products and services through applied research on behalf of our customers.

Skills

Required

  • Machine Learning
  • Python
  • Data Science
  • Algorithm Design
  • Model Development
  • Cloud Services
  • NLP
  • NLU
  • ASR
  • Computer Vision
  • Experiment Design
  • Risk Optimization
  • Fairness and Explainability
  • Production Model Code
  • Customer Engagement

Nice to have

  • Mentorship
  • Forecasting
  • Anomaly Detection
  • Recommender Systems
  • Time Series Analysis

What the JD emphasized

  • state-of-the-art machine learning
  • applied research
  • state-of-the-art machine learning

Other signals

  • Develops models, prototypes, and experiments that pave the way for innovative products and services.
  • Build cloud services that work out of the box for enterprises
  • Work closely with product management and engineering to deliver products which solves the needs of our customers
  • Advance the state-of-the-art machine learning and algorithms for real-world large-scale applications.