The Earner org at Uber is looking to improve the efficiency of their platform and develop products that make earning through the Uber marketplace a rewarding experience.
Requirements
- 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.
- Deep expertise in advanced statistical techniques, including causal inference, quasi-experimental methods, and predictive modeling.
- Experience with machine learning, statistics, and optimization algorithms.
- Experience with data analysis and data-driven approaches.
- Experience with data science methodologies including modeling, coding, analytics, and experimentation.
- Proficiency in a programming language like Python or R
Responsibilities
- 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.
- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches.
- Propose and guide the framework of data analysis to drive business insight and facilitate decisions.
- Leverage data to understand product performance and to identify improvement opportunities.
- Design product experiments and interpret the results to draw detailed and impactful conclusions.
- Build intelligent data-driven products to provide the best user experience.
- Establish standard methodologies for data science including modeling, coding, analytics, and experimentation.
Other
- 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).
- Proven ability to lead projects, work autonomously, and navigate ambiguity.
- M.S. or Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Engineering, Operations Research).
- A track record of successfully influencing product strategy and driving business outcomes through data on a consumer app.
