Merkle Science

Data Scientist — Blockchain Intelligence

New York

Sponsorship not specifiedDetected 36 days ago

PythonCode ReviewGitSQLDatabricksGCPKafkaSparkData EngineeringData Science

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.
has combined experience across Bank of America, Paypal, Luno, Thomson Reuters and Amazon.

Own your data end to end - pull, clean, join, and model large on-chain datasets without depending on a separate team for every query.
Build and maintain the pipelines that take a heuristic from notebook to production, including backfills, incremental runs, and validation.
Partner with investigations and product to define what "correct" looks like and benchmark against ground truth.
4+ years building data science or data engineering systems that actually shipped (not just notebooks).

Our vision is to make cryptocurrencies safe and provide infrastructure for the safe and compliant growth of cryptocurrencies.
Design, test, and ship clustering and attribution heuristics, and measure them with real precision/coverage metrics rather than vibes.
Ability to reason about precision vs. coverage trade-offs and defend your metrics.

The company has raised over $27M from SIG, Beco, Republic, DCG, Kenetic, GGV and several others.
What we're looking for

This listing is sourced directly from Merkle Science's careers page and normalized into a canonical job model.