Data Scientist, Market Ops

Data Scientist, Market Operations

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. Our products make this possible: the Orb verifies real people, World ID proves it privately, and World App enables and distributes the new applications made possible by this technology. Together, they form a new layer for AI internet.

We're one of the fastest-growing networks in tech. More than 17 million people across 160 countries have verified with World ID, and we complete over 350,000 verifications 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.

World was founded in 2019 and launched globally in 2023. We are 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.

World has 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 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 Unwrapped 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