Scientist Ii, Earner Experience

Uber Uber · Consumer · New York, NY · Data Science

Scientist II role focused on improving the efficiency of Uber's earner platform and directing product development through machine learning, statistics, and optimization. The role involves building prototypes, productionizing algorithms, driving business insights with data, designing experiments, and influencing product strategy.

What you'd actually do

  1. Develop creative solutions and build prototypes to business problems using algorithms based on machine learning, statistics, and optimization, and work with engineering/product to productionize those algorithms and create impact in production.
  2. Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
  3. Propose and guide the framework of data analysis to drive business insight and facilitate decisions. Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
  4. Leverage data to understand product performance and to identify improvement opportunities.
  5. Design product experiments and interpret the results to draw detailed and impactful conclusions.

Skills

Required

  • SQL
  • Python
  • R
  • A/B testing
  • statistical modeling
  • optimization
  • machine learning

Nice to have

  • M.S. or Ph.D. in a quantitative field
  • causal inference
  • quasi-experimental methods
  • predictive modeling
  • consumer app product strategy

What the JD emphasized

  • 2+ years of industry experience in data science, analytics, or a related quantitative role.
  • Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
  • Proficiency in SQL and a programming language like Python or R for complex data manipulation and analysis.
  • Demonstrated experience designing and analyzing large-scale A/B experiments.
  • Proven ability to lead projects, work autonomously, and navigate ambiguity.