Head of Data Science

San Francisco
Economics & Data Science
Apply Now

Worldcoin participates in the E-Verify Program

Worldcoin is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Worldcoin is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

About the Company:

Worldcoin is a new, collectively owned global currency that will be distributed fairly to as many people as possible. Worldcoin will launch by giving a free share to everyone on Earth. We believe that this is an essential step to accelerate the transition towards a more inclusive global economy, providing new ways for everyone to share future prosperity. We hope you’ll join us on our ambitious journey.

About the Team:

The Data Science team is responsible for deriving data-driven insights to support Worldcoin’s key decisions. Because of our unique growth model of using a global network of Orb Operators to give a free share of Worldcoin to everyone on Earth, we require a high-performing data science team able to manage and analyze large amounts of data generated by the Orb, by the Worldcoin app, and by on-chain activities. In particular, the team’s responsibilities include (1) business intelligence, (2) statistics, and (3) data engineering.

About the Opportunity:

As the Head of Data Science, you will build up and lead the Data Science team. You will be responsible for innovating and introducing new data science solutions to continuously improve our ability to leverage our data. Additionally, you and your team will be a service provider for many other teams at Worldcoin (in particular Fraud and Risk Analytics, Product, Market Operations, and Blockchain).

In this role, you will:

  • Build up and manage a high-performing team of data engineers, data analysts, and data scientists/statisticians
  • Set up the technical infrastructure necessary for collecting, processing, cleaning, and analyzing all data relevant for data science use-cases, in collaboration with Worldcoin’s Data Engineering department
  • Define Worldcoin’s KPIs together with the CEO and other departments
  • Create transparency and visibility on our most important metrics by leading the design and development of suitable dashboards/visualizations
  • Lead in-depth statistical analyses to derive insights that drive strategic decisions
  • Lead the design and implementation of robust prediction algorithms
  • Collaborate closely with all other stakeholders (i.e., Economics, Fraud and Risk Analytics, Product, Market Operations, Blockchain

About You:

  • Degree in a quantitative field like computer science, statistics, econometrics, applied math, operations research or similar (advanced degrees preferred), or relevant work experience
  • 8+ years of hands-on technical experience in a data science role or equivalent
  • 4+ years of management experience building and leading teams
  • Extensive experience in data engineering (in particular data architecture), business intelligence, statistics/econometrics (e.g., causal inference, experiment design), and predictive analytics
  • Programming experience in SQL, R, Python, or similar programming languages
  • Skilled at managing cross-functional relationships and communicating with leadership across multiple teams
  • Practically oriented and “getting-the-job-done” mindset
  • Thriving in a fast-paced and continuously evolving environment 
  • Experience with BI tools like Metabase, Tableau, Looker, or PowerBI a plus
  • Experience with graph databases and graph algorithms a plus
  • Basic understanding of blockchain technology a plus
  • High-quality academic publications a plus


Remote work is an option for this position, but please be aware that the leadership team meets monthly in Berlin, so regular travel would be required


Head of Data Science

Apply Now


Economics & Data Science


Berlin / San Francisco / Remote