About the Role
Our mission is create the best platform for earners. We are focusing on building a personalized experience that empowers earners to earn and progress effectively at Uber. We are looking for an experienced candidate who is passionate about pricing and mechanism design, has the ability to break complex problems down into executable parts for testing, and is eager to take on new challenges. You will be leading the effort to innovate on new pricing models as well as new targeting algorithms.
What you will need
- Develop and evaluate pricing and machine learning models in production.
- Propose, design, and analyze large scale online experiments
- Define and implement metrics to measure product performance
- Present findings to business and executive audiences
- Collaborate with engineers and product managers to implement ideas and plan future roadmaps
- Advanced understanding of statistics, causal inference, and machine learning
- 5+ years of industry experience as an Applied Scientist or equivalent.
- Experience designing and analyzing large scale online experiments
- Experience in pricing and mechanism design
- Experience working with large scale data sets using technologies like Hive, Presto, and Spark
Want more jobs like this?
Get Science and Engineering jobs in Amsterdam, Netherlands delivered to your inbox every week.
Basic Qualifications
- Ph.D., MS or Bachelors degree in Economics, Operations Research, Statistics, Computer Science, or other quantitative field
- If Ph.D or M.S. degree, a minimum of 2+ years of industry experience as an Applied Scientist or equivalent
- Knowledge of underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics
- Hands-on experience building and deployment ML models.
- Knowledge of experimental design and analysis
- Experience with exploratory data analysis, statistical analysis and testing, and model development
- Ability to use a language like Python or R to work efficiently at scale with large data sets
- Proficiency in technologies in one or more of the following: SQL, Spark, Hadoop
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.