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Staff Scientist, Autonomous Mobility & Delivery

Uber

$212,000 - $235,500
Aug 22, 2025
San Francisco, CA, US
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Uber is looking to transform transportation and delivery through cutting-edge autonomous technology by designing marketplace systems, developing models, and running experiments that bring AVs to life at scale.

Requirements

  • Deep expertise in SQL, Python, and statistical analysis.
  • Proven experience building and deploying ML or optimization models in production.
  • Advanced knowledge of experimentation and causal inference methodologies.
  • Strong product and systems thinking, comfortable making trade-offs between ideal science and product reality.

Responsibilities

  • Design and scale advanced machine learning and optimization systems that power the AV marketplace.
  • Establish key success metrics and measurement frameworks for features and launches.
  • Incubate 0-to-1 solutions to emerging AV-specific problems in efficiency, and user experience; and architect hybrid marketplace strategy
  • Shape hybrid marketplace vision and translate the strategy into measurable goals, robust models, and scalable systems.
  • Propose and defend data-driven hypotheses in senior and executive reviews; shape long-term product direction with clear technical narratives.
  • Partner deeply with engineering, product, and operations to identify impactful opportunities and co-drive execution from inception to delivery.
  • Act as a scientific thought leader, mentoring junior scientists and influencing technical strategy across the organization.

Other

  • Ph.D. or equivalent experience in a quantitative field such as Machine Learning, Operations Research, Statistics, or Applied Mathematics.
  • 5+ years of industry experience in Data Science, Applied Science, or related roles, with a proven record of driving product or marketplace impact.
  • 7+ years experience in fast-paced tech or marketplace environments; experience in AV mobility or delivery domains is a plus.
  • Experience presenting to and influencing senior leadership and executives.
  • Demonstrated leadership of large-scale, cross-functional technical initiatives.
  • Entrepreneurial experience launching new product lines, systems, or 0-to-1 initiatives.
  • Strong communication, storytelling, and influencing skills.