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Worldcoin is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.
Worldcoin is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.
Worldcoin is a new, collectively owned global currency that will be distributed fairly to as many people as possible. Worldcoin will launch by giving a free share to everyone on Earth. We believe that this is an essential step to accelerate the transition towards a more inclusive global economy, providing new ways for everyone to share future prosperity. We hope you’ll join us on our ambitious journey.
The Economics team uses a market design approach to develop practical incentive mechanisms that scale to more than a billion participants of the Worldcoin network. In our team, Economists, Computer Scientists and Statisticians work together to rapidly design, build, and field-test Operator auctions, user incentive programs, fraud mitigation techniques, etc., that work robustly with thousands of Operators and billions of users around the world. Using data from large-scale field experiments, we iterate quickly and often to optimize our designs.
You will be responsible for leading a team of econometricians, statisticians, and data scientists, that analyzes large amounts of data to evaluate the performance of all economic mechanisms that Worldcoin is testing in the field. The scope includes primarily the empirical analysis of auction data, survey data, sign-up rate data, user engagement data, etc. With your work, you will have a large impact, influencing the design and parametrization of the mechanisms Worldcoin will use on a global scale.
The ideal candidate is practically oriented and thrives in a fast-paced and continuously evolving environment, with a proven track record of successfully deriving analytical insights from large amounts of field data.
Economics & Data Science