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
Basic Qualifications- Ph.D. or MS in Economics, Econometrics or Statistics,
- 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
* 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 .