Uber is looking to solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference across multiple teams, including delivery logistics, membership, maps and experimentation.
Requirements
- Background in at least one programming language (eg. Python, R, Java, Ruby, Scala/Spark or Perl)
- Ability to use Python or similar technologies to work efficiently with large data sets and prototype algorithms & models
- Coding and SQL proficiency and ability to develop statistical analysis and algorithm prototyping in Python or R.
- Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators
- Experience with exploratory data analysis, statistical analysis and model development
- Strong programming skills to prototype models in at least one of Python (preferably), R, Java, Go, Scala
- Experience in large-scale marketplace algorithm design, membership / consumer growth, or experimentation platform.
Responsibilities
- Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
- Develop and implement statistical / econometric methodologies to improve results validity, power and generalizability.
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Design and analyze experiments, present results that provide actionable recommendations.
- Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.
- Owning the product development cycle end to end from data and science aspects.
Other
- Ph.D., M.S. or Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
- 2+ years of industry experience as an Applied or Data Scientist or equivalent (not required for Ph.D.).
- Excellent communication and collaboration skills: Able to lead initiatives across multiple product areas and communicate findings with leadership and product teams
- Experience in leading key technical projects and substantially influencing the scope and output of others
- Thought leadership to drive multi-functional projects from concept to production.
