Data Scientist, Market Ops
Job description
About the Company:
Tools for Humanity (TFH) designs and builds technology behind World. World is building a real human network designed to accelerate people in the age of AI. As bots and autonomous agents reshape the internet, people, institutions, and applications need a trusted way to confirm who is a real human while preserving privacy. The TFH and World tech stacks make this possible: the Orb verifies real, unique people, World ID proves it privately, and World App puts these capabilities, and more, in people’s hands. Together, they add a human layer to an AI-driven internet.
World is already running at a global scale. More than 17 million people across 160 countries have verified with World ID, and more new Orb verifications take place each week. World App is already among the most used wallets globally. Developers are integrating World ID to build safer online experiences and create spaces where real people can participate, earn, and be recognized in ways AI simply can’t replicate.
Founded in 2019, TFH has more than 400 people across hardware, software, AI, cryptography, mobile engineering, and global operations. Our teams come from OpenAI, Tesla, SpaceX, Apple, Google, Stripe, Meta, Coinbase, Palantir and MIT Media Lab. We’re backed by leading investors, including a16z, Khosla Ventures, Bain Capital Crypto, Blockchain Capital, Variant, Tiger Global, and Coinbase Ventures, as well as prominent operators and founders across fintech and AI.
TFH and World have been featured on the cover of TIME Magazine, highlighted in Fast Company’s Next 5 in Fintech, and explored in a Bloomberg deep dive. The New York Times, Bankless and TechCrunch have all recognized our collective progress in identity, cryptography, AI, and global-scale hardware deployment. Our leadership is also named to the Time AI 100. Learn more about the newest product launches from our Liftoff event.
This opportunity would be with Tools for Humanity
About the team:
The Data Science team is a centralized team responsible for driving better decisions throughout the company. As a Data Scientist, Market Operations, you will design, implement, and own critical decision making frameworks, reports, and analysis. You will work closely with cross functional leadership across Market Operations.
The Market Operations team is responsible for driving the successful launch, growth, and ongoing performance of World’s operations in markets around the world. Our team ensures that World’s unique model of verifying humanness through a global network of Orb Operators is implemented effectively, sustainably, and at scale. We collaborate closely with cross-functional teams to design and optimize operational processes, manage local partnerships, and deliver exceptional user and Operator experiences. We are known for our operational excellence, on-the-ground problem solving, and relentless focus on execution and impact.
About the Opportunity:
This role is based in our Munich office. In this role you will:
Define core metrics that measure the success of various functions throughout market operations.
Create scalable frameworks for market performance analysis, experimentation, forecasting, and root-cause diagnosis in highly ambiguous environments
Lead the development of data products, automation workflows, and agentic solutions that reduce manual analysis and increase the speed and quality of decision-making
Identify, size, and prioritize the most important growth and operational improvement opportunities across markets, translating insights into clear recommendations and action plans
Partner with Market Operations, Product, Finance, and other cross-functional leaders to inform strategy, resource allocation, and market-level operating decisions
Raise the analytical bar across the organization by making data more accessible, actionable, and embedded in day-to-day decision making
Serve as a thought partner to senior leadership, helping shape the long-term strategy and operating model for Market Operations
About You:
Bachelor’s degree in a quantitative field; Master’s degree a plus
6+ years of hands-on experience in data science, ideally in high-growth, operationally complex, or global environments
Experience in Python, SQL, data transformation frameworks, and visualization tools
Proven track record of building scalable reporting, metrics frameworks, and data products that influence business strategy and operational execution
Experience using automation and AI/agentic workflows to streamline analysis, decision support, or operational processes
Bias for action and comfort making impactful decisions in ambiguous situations
Exceptional written communication and presentation skills