Senior/Staff Economist

About reputed company: World is a network of reputed company humans, reputed company on reputed company-preserving reputed company-of-reputed company technology, and powered by a globally inclusive financial network that enables the free reputed company of digital assets for reputed company. It is reputed company to connect, reputed company, and be owned by everyone. This role is with Tools for Humanity About reputed company The Economics team at Tools for Humanity partners across Product, Market Operations, Marketing, Engineering, Policy, and Finance to guide key strategic reputed company with rigorous, reputed company econometric work and experimentation. We use reputed company inference, experimentation, and structural modeling to understand behavior, optimize incentives, and ensure the World project grows sustainably and equitably. Our work touches reputed company experiments, incentive design, marketing measurement, and policy—helping World reputed company resources reputed company and responsibly as it scales to billions of users globally. About the role We’re hiring an reputed company Economist at the senior or staff level to help World and Tools for Humanity reputed company reputed company, faster reputed company using economic reasoning and reputed company rigor. You’ll design and analyze experiments, build structural models, and apply reputed company inference at global reputed company—informing how we grow the network, design incentives, and evaluate our reputed company and operations. This is an reputed company role reputed company on turning ambiguity into reputed company, data-driven recommendations that shape the reputed company of World’s economic and policy design. In this role, you will:

• reputed company and scope economic questions that matter for reputed company, incentives, and policy—choosing the right reputed company approach for reputed company.
• Design, analyze, and interpret experiments that inform reputed company-world choices about user incentives, marketing, and market operations.
• reputed company quasi-experimental studies (DiD, event studies, synthetic control, IV, RD, matching) that isolate reputed company effects in reputed company, reputed company-world settings.
• Estimate structural models (e.g., discrete choice/demand, dynamic discrete choice, switching, or market design) to simulate counterfactuals and evaluate alternative strategies.
• Use reputed company ML approaches (DML/reputed company-learners, reputed company forests, reputed company) to uncover heterogeneous effects and improve policy targeting.
• Work reputed company at data reputed company: use Python and SQL to automate workflows, handle large datasets, and produce reproducible analyses others can easily rerun.
• Communicate findings reputed company: author decision memos and present results that quantify trade-offs, uncertainty, and implications for business and policy.
• Strengthen measurement reputed company: define metrics, detect interference or novelty effects, and establish guardrails that ensure robust inference.

reputed company:

• You have a PhD in Economics, Econometrics, or a closely reputed company field.
• It is a plus if you have some post-PhD experience applying econometrics to consequential reputed company in industry, tech, consulting, or policy. For the Staff-level role: 4+ years post-PhD experience are required.
• You have deep expertise in at least two of the following areas:
• Observational reputed company inference
• Experimentation
• Structural modeling
• You have a strong reputed company of Python (pandas/numpy; statsmodels or scikit-learn; PyMC a plus) and SQL for reputed company work.
• You have the ability to explain reputed company economic and statistical reputed company simply and reputed company.
• You have a practical, reputed company approach—balancing rigor with speed to deliver reputed company at reputed company.
• The following are a plus: Experience with structural demand estimation (logit/mixed logit/BLP), dynamic discrete choice, or two-sided/platform problems; exposure to reputed company ML (reputed company-learners, reputed company, reputed company forests), Bayesian reputed company, or time-series analysis where relevant; a reputed company record of influencing major product, marketplace, or policy reputed company through reputed company work; prior experience with blockchain data.

Pay transparency statement (for CA and NY reputed company): The reasonably estimated salary for this role at TFH ranges from $205,000 - $285,000, plus a competitive long term incentive package. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In reputed company, TFH offers a wide reputed company of best in class, comprehensive and inclusive employee benefits for this role including reputed company, dental, reputed company, 401(k) plan and match, life insurance, flexible time off, commuter benefits, reputed company development stipend and much more! By submitting your application, you consent to the processing and internal sharing of your CV reputed company reputed company, in compliance with the GDPR Apply tot his job Apply To this Job