Staff/Senior Staff Applied Scientist - Causal inference & Experimentation

Applied Scientists at Uber use data to improve and automate all aspects of Uber's products! Your scope will cover the entire rider experience, ranging from the core rider experience to newer verticals like rentals, Uber reserve, and business users. You will own the development of experimentation and quasi-experimental methods to address some of our most challenging causal problems, including product incrementality and long-term value. What You'll Do Design, develop, productionize, and operate econometric models, experiments, and frameworks to assess challenging causal problems such as product incrementality and long-term value Propose, design, and analyze large scale online experiments Present findings to business and executive audiences Basic Qualifications 4+ years of industry experience as an Applied or Data Scientist or equivalent. Expertise in econometrics Expertise in experimental design and analysis Expertise in underlying mathematical foundations of machine learning, statistics, optimization, economics, and analytics Proficiency in SQL. Ability to communicate clearly and effectively to cross functional partners of varying technical levels. Preferred Qualifications Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, or other quantitative fields. 7+ years of industry experience as an Applied or Data Scientist or equivalent Experience modeling lifetime value and estimating incrementality Experience on experimentation platform team Experience implementing experimentation processes For San Francisco, CA-based roles: The base salary range for this role is USD$203,000 per year - USD$225,500 per year. 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 Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form. #J-18808-Ljbffr Uber