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Uber Sr Scientist Matching Segmentation 
United States, West Virginia 
833268291

Today

What You'll Do

  • Develop data-driven business insights and work with cross-functional stakeholders to identify opportunities and recommend prioritization of product, growth and optimization initiatives
  • Design and analyze experiments, communicating results that draw detailed and actionable conclusions
  • Analyze and contribute to development of optimization algos and ML models for use in mobility matching
  • Collaborate with cross-functional teams such as product, engineering and operations to drive system development end-to-end from conceptualization to final product

Basic Qualifications

  • PhD, MS, or Bachelors degree in Operations Research, Statistics, Economics or other quantitative fields
  • 4+ years of industry experience as Data Scientist or equivalent
  • Proficient in SQL and advanced experience (2+ years) using Python/R to able to work efficiently at scale with large datasets
  • Knowledge of experimental design and analysis (A/B, Switchbacks, Synthetic Control, Diff in Diff etc)
  • Experience with exploratory data analysis, statistical analysis and testing and model development
  • Good communication skills across technical, non-technical and executive audiences

Preferred Qualifications

  • Ability to work in self-guided manner
  • Have a growth mindset; love solving ambiguous, ambitious and impactful problems
  • Experience in optimization and/or algorithm development
  • Experience with dashboard / data visualization tools (i.e Tableau, Mixpanel, Looker or similar)

For Canada-based roles: The base salary range for this role is CAD$164,000 per year - CAD$182,000 per year.

You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link .

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .