What are the responsibilities and job description for the Senior Scientist, Rider Pricing & Incentives position at Uber?
About The Role
Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and design experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with a variety of tools. In this role, you will be able to use your strong quantitative skills and creativity in the fields of statistics, economics, data science, and software development to improve the Uber rider experience as well as the overall marketplace performance.
What The Candidate Will Do
Scientists at Uber use data to analyze, improve and automate all aspects of Uber's core rideshare and delivery products. You will be joining the Pricing and Incentives team, which owns our automated real-time pricing and incentives algorithms and platform. You will work on analyzing data, creating new metrics, and design experiments which will help design the models and inform the strategies that maintain reliability and improve the efficiency of Uber's Mobility marketplace.
We are looking for experienced candidates with a passion for analyzing data and solving new and difficult problems with a variety of tools. In this role, you will be able to use your strong quantitative skills and creativity in the fields of statistics, economics, data science, and software development to improve the Uber rider experience as well as the overall marketplace performance.
What The Candidate Will Do
- Use data to understand product performance and to identify improvement opportunities.
- Develop novel experimentation and/or measurement methodology for use in large-scale marketplace settings.
- Analyze data and build dashboards for monitoring of KPIs and market health
- Design and execute product experiments and interpret the results to draw detailed and actionable conclusions.
- Present findings to inform business decisions.
- Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields.
- 4 years of industry or academic experience as an Applied or Data Scientist or equivalent (with at least two of those years in industry).
- Experience in experimental design and analysis.
- Experience with exploratory data analysis, statistical analysis and testing, and model development.
- Proficiency in Python/R and SQL.
- 6 years of industry/tech experience in applied science, data science, economics, machine learning, and/or optimization roles.
- Experience in using Python to work efficiently at scale with large data sets.
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Experience in algorithm development and prototyping.
- Experience in pricing optimization and/or marketplace design.
- Experience in designing large scale experiments in complex environments.
- Well-honed communication and presentation skills.
Salary : $190,000 - $211,000