Policy Applied Scientist, Earnings Policy Policy Applied Scientist, Earnings Policy 1 day ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. About The Role The Earnings Policy team specializes in deeply understanding driver and courier take home pay and its determinants. We ensure the fairness and accuracy of Uber's public earnings claims (including in Marketing and Product surfaces and in the media) through expert analysis, data products, and internal consulting. In this role, you would be part of the Policy, Research and Economics team, which is led by the Chief Economist. About The Role The Earnings Policy team specializes in deeply understanding driver and courier take home pay and its determinants. We ensure the fairness and accuracy of Uber's public earnings claims (including in Marketing and Product surfaces and in the media) through expert analysis, data products, and internal consulting. In this role, you would be part of the Policy, Research and Economics team, which is led by the Chief Economist. What You'll Do Automate the production of fair and accurate earnings statistics; maintain and improve automated reporting pipelines and dashboards for aggregate earnings statistics. Generate research-driven insights on Uber earners' income, ensuring fairness and accuracy in all public earnings claims. Collaborate cross-functionally with product, legal, policy, operations, engineering, and other teams to translate complex earnings data and risk assessments for a wide range of audiences. Evangelize best practices and advocate for a unified Uber narrative on driver/courier earnings, actively reducing reputational and policy risks. Basic Qualifications Bachelor's degree in economics, statistics, math, computer science, or another quantitative field Familiarity with Python. Demonstrated experience conducting statistical or econometric analysis and synthesizing results into clear, actionable insights. A track record of working independently and conducting research with minimal oversight. Preferred Qualifications Experience with earnings, labor economics, or policy research, especially involving gig platforms or marketplaces. 2+ years' experience in applied science in a business setting. Exceptional communication skills, with ability to collaborate cross-functionally and translate technical findings for non-technical audiences. Experience maintaining and using large data pipelines and dashboards. Experience with dashboarding tools, SQL, cloud-based data platforms, and AI coding tools. Ability to work independently and proactively identify research questions and data issues relevant to business or policy. Project management skills and experience working in a cross-functional environment with researchers, engineers, and business leaders. Passion for Uber's mission and for helping shape fair, transparent narratives about driver and courier earnings. For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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 For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 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 Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Research, Analyst, and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Sign in to set job alerts for “Applied Scientist” roles. 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