What The Candidate Will Do
- Develop algorithms for optimizing prices at scale.
- Design pricing experiments and use data for model training and pricing decisions.
- Use data to understand product performance and to identify improvement opportunities.
- Monitor and evaluate the performance of pricing strategies and make adjustments as needed to ensure optimal outcomes.
- Present findings to senior management to advise on business decisions.
- Collaborate with multi-functional teams across fields such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productization.
Basic Qualifications
- A Ph.D. in a quantitative field (e.g., Statistics, Economics, Computer Science, Operations Research) OR a Master's/Bachelor's degree in a similar field with 2+ years of relevant industry experience.
- Ability to use Python, SQL, R or similar technologies to work efficiently with large data sets
- Design experiments and interpret the results to draw detailed and actionable conclusions across a variety of key performance indicators.
- Self-motivated with the ability to work independently and a strong passion to learn and grow
Preferred Qualifications
- Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
- Experience leading key technical projects and substantially influencing the scope and output of others.
- Solid Programming skills to prototype models in at least one of Python (preferably), R
- Expert in one of the following areas: A/B experimentation design, causal inference, machine learning, economics, or optimization
- Experience of working with large dataset using Spark, Hive, HDFS is desired
- Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics.
- Experience working in a marketplace-related problem space, esp. pricing optimization
- Experience designing large-scale price experiments and using the data for pricing decisions.
For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For all US locations, 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 https://www.uber.com/careers/benefits., For New York, NY-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. For all US locations, 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 https://www.uber.com/careers/benefits.
