Next generation crypto threat detection, risk management and compliance for businesses, banks and government agencies. Sign up now. Backed by 500 Global and Entrepreneur First.
About the role
We turn raw on-chain activity into trustworthy intelligence — clustering addresses into real-world entities, attributing them to services and actors, and surfacing risk for compliance and investigations teams. We're looking for a data scientist who is as comfortable shipping a heuristic to production as they are designing it: someone who can move from a messy hypothesis to a working pipeline without waiting on someone else to wire up the data.
What they're looking for
- 4+ years building data science or data engineering systems that actually shipped (not just notebooks)
- Strong Python and SQL, comfortable with large datasets and the gotchas of joins, dedup, and skew at scale
- Solid grasp of clustering, graph/network analysis, or entity resolution — and a habit of validating results, not just producing them
- Ability to reason about precision vs. coverage trade-offs and defend your metrics
- Self-directed: you can scope an ambiguous problem, get the data yourself, and drive it to a result
More about this role
⚡️ About Merkle Science
Merkle Science provides blockchain transaction monitoring and intelligence solutions for web3 companies, digital asset service providers, financial institutions, law enforcement and government agencies to detect, investigate, and prevent illicit use of cryptocurrencies. Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Merkle Science is headquartered in New York with offices in Singapore, Bangalore and London. The team has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon. The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
We turn raw on-chain activity into trustworthy intelligence — clustering addresses into real-world entities, attributing them to services and actors, and surfacing risk for compliance and investigations teams. We're looking for a data scientist who is as comfortable shipping a heuristic to production as they are designing it: someone who can move from a messy hypothesis to a working pipeline without waiting on someone else to wire up the data.
You'll work closely with our attribution...
Browse similar: AI jobs · AI startup jobs · Startup jobs · Remote jobs