Data Scientist — Blockchain Intelligence

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.

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.

You'll work closely with our attribution and clustering leads on models and heuristics that run across billions of transactions and multiple chains (Bitcoin, Ethereum, Tron, Solana, and more).

What you'll do

• Design, test, and ship clustering and attribution heuristics, and measure them with real precision/coverage metrics rather than vibes.

• Own

🔒 Unlock Full Requirements & Apply ($500 Bonus) ↓

📋 Preparation Priorities (Key Areas to Clarify):

• 1. Superficial understanding of blockchain mechanics or transaction tracing
• 2. Treating regulatory compliance as a box-ticking exercise rather than a dynamic risk engine
• 3. Inability to communicate complex risk models to non-technical financial compliance officers

✨ Recommended Role Alignment Hook:

I build proactive crypto risk intelligence tools that keep financial institutions compliant and secure.