Staff Scientist, UberEats Feed
Location: On-Site, New York, ND

Job Description:

Are you a visionary data scientist who thrives on solving complex challenges and creating seamless customer experiences? UberEats is seeking a Staff Scientist to transform the Feed experience, delivering personalized, engaging, and data-driven content to millions of users worldwide. If you're passionate about applying cutting-edge machine learning techniques to make every meal discovery feel magical, this is the role for you!

What You’ll Do:

  • Lead the development of advanced machine learning models to personalize the UberEats Feed for diverse audiences.
  • Analyze vast datasets to identify trends, preferences, and opportunities for enhancing user engagement.
  • Collaborate with engineers, designers, and product teams to build intuitive and scalable solutions.
  • Experiment with algorithms, test hypotheses, and deploy impactful features that delight users.
  • Stay ahead of the curve by exploring emerging AI technologies and best practices.

What We’re Looking For:

  • Extensive experience in machine learning, data science, or related fields.
  • Proficiency in programming languages such as Python, R, or Scala, and familiarity with big data tools.
  • Strong analytical skills with a track record of solving real-world problems at scale.
  • A passion for innovation, collaboration, and delivering exceptional user experiences.

Hungry to shape the future of UberEats? Join us and revolutionize how the world discovers and enjoys food. Apply today!


Key Skills:

  • Familiarity with IBM technology, Data Science, AI, and Open Source tools like Python Knowledge of Adobe Captivate, Camtasia, and/or Adapt