Uber operates in a constantly-evolving and competitive environment, and our success requires deep understanding of our marketplace and the ability to build products that scale on a global footprint. You will work on high visibility, high impact projects which have significant impact on Uber's P+L.
Requirements
- Knowledge of experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
- Experience in algorithm development and prototyping.
- Experience designing reinforcement learning or other advanced ML algorithms.
- Experience performing causal inference and other advanced econometric and statistical techniques.
Responsibilities
- Deploy analysis techniques such as causal inference and funnel analysis to identify our largest business opportunities.
- Work alongside engineers to design and implement production solutions.
- Design and analyze product experiments, and communicate findings and conclusions with stakeholders.
- generate insights, develop new models, design metrics and run experiments.
Other
- PhD., M.S. or Bachelors degree in Operations Research, Statistics, Economics, Machine Learning, or other quantitative fields.
- 3+ years of industry experience.
- Outstanding communication and presentation skills.
