Tools for Humanity · 2 months ago
Senior/Staff Economist
San Francisco
Full-time
Onsite
Senior Level, Lead/Staff
$205K/yr - $285K/yr
4+ years expTools for Humanity is a company focused on privacy-preserving proof-of-human technology and a globally inclusive financial network. They are seeking an applied Economist at the senior or staff level to design and analyze experiments, build structural models, and apply causal inference to inform strategic decisions and optimize incentives for their growing network.
Artificial Intelligence (AI)BlockchainHardwareSoftware
Responsibilities
Frame and scope economic questions that matter for growth, incentives, and policy—choosing the right empirical approach for each
Design, analyze, and interpret experiments that inform real-world choices about user incentives, marketing, and market operations
Develop quasi-experimental studies (DiD, event studies, synthetic control, IV, RD, matching) that isolate causal effects in complex, real-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 causal ML approaches (DML/meta-learners, causal forests, uplift) to uncover heterogeneous effects and improve policy targeting
Work efficiently at data scale: use Python and SQL to automate workflows, handle large datasets, and produce reproducible analyses others can easily rerun
Communicate findings clearly: author decision memos and present results that quantify trade-offs, uncertainty, and implications for business and policy
Strengthen measurement quality: define metrics, detect interference or novelty effects, and establish guardrails that ensure robust inference
Qualification
Required
You have a PhD in Economics, Econometrics, or a closely related field
You have deep expertise in at least two of the following areas: Observational causal inference, Experimentation, Structural modeling
You have a strong command of Python (pandas/numpy; statsmodels or scikit-learn; PyMC a plus) and SQL for empirical work
You have the ability to explain complex economic and statistical ideas simply and precisely
You have a practical, collaborative approach—balancing rigor with speed to deliver impact at scale
Preferred
It is a plus if you have some post-PhD experience applying econometrics to consequential decisions in industry, tech, consulting, or policy
For the Staff-level role: 4+ years post-PhD experience are required
The following are a plus: Experience with structural demand estimation (logit/mixed logit/BLP), dynamic discrete choice, or two-sided/platform problems; exposure to causal ML (meta-learners, uplift, causal forests), Bayesian methods, or time-series analysis where relevant; a track record of influencing major product, marketplace, or policy decisions through empirical work; prior experience with blockchain data
Benefits
Healthcare
Dental
Vision
401(k) plan and match
Life insurance
Flexible time off
Commuter benefits
Professional development stipend
And much more!
Company
Tools for Humanity
Tools for Humanity is a technology company building for humans in the age of AI. Currently building tools for World.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$244MKey Investors
Blockchain Capitala16z cryptoApollo Projects
2023-05-25Series C· $115M
2022-03-23Series B· $100M
2021-10-21Series A· $25M
Leadership Team
Alex Blania
CEO & Co-Founder
Trevor Traina
Chief Business Officer
Recent News
Techpoint Africa
2026-01-24
Techpoint Africa
2026-01-23
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