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Data Scientist II

Uber

$140,000 - $156,000
Sep 12, 2025
Sunnyvale, CA, US
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Uber's Customer Obsession Team is looking for a Data Scientist to build self-service technology, including AI agents leveraging GenAI, to improve the customer support experience by making it easier for customers and support representatives to achieve the right outcome faster. The team is also responsible for building models and algorithms to identify customer intentions, propose solutions, and enhance the overall customer experience.

Requirements

  • Advanced SQL expertise
  • Solid understanding of experimental design (such as A/B experiments) and statistical methods
  • Ability and experience in extracting insights from data, and summarizing findings/takeaways
  • Experience with Excel/Gsheet and dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar)
  • Advanced experience with experimental design and statistical methods such as causal Inference.

Responsibilities

  • Build self-service technology, including AI agents leveraging GenAI, and continuously innovate and improve the Uber customer support experience for different personas, including AV customers.
  • Collaborate with cross-functional customers to find opportunities, design, implement and analyze experiments, and perform deep dives to drive business impact
  • Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to business partners
  • Work closely with the Engineering teams to create data instrumentation and improve data quality
  • Communicate optimally with non-technical customers on technical topics
  • Maintain focus and efficiency and be able to navigate among ambiguity

Other

  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, or other quantitative fields
  • A minimum of 3+ years of industry experience is required
  • Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
  • Excellent judgment, critical thinking, and decision-making skills