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Merkle Science

Data Scientist — Blockchain Intelligence

New York, United States

  • Full time
  • Remote

About the 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.

Our tech stack

You don't need to have used all of these, but here's what you'd be working with day to day:

Databricks — our lakehouse and processing backbone. Large-scale on-chain datasets are transformed and modeled here via Spark and SQL; most heuristics run as Databricks jobs against billions of transactions.

Kafka — real-time ingestion of on-chain and transaction data. New blocks and events stream in continuously, so a lot of our work is designed to run incrementally rather than as one-off batch jobs.

Python — the primary language for everything from exploratory analysis to production heuristics and pipeline code.

TigerGraph — our graph database, where addresses, transactions, and entities live as a network. Clustering, traversals, and relationship queries (who funds whom, consolidation paths, entity linkage) happen here.

Supporting cast you'll likely touch:

SQL everywhere — for ad-hoc analysis, validation, and defining ground-truth datasets.

Columnar / analytical stores (e.g., ClickHouse) for fast aggregate queries over large tables.

Orchestration & scheduling for backfills and recurring pipeline runs.

Git / GitHub for version control and code review — we expect pipelines and heuristics to be reviewed like any other code.

GCP as our cloud environment.

How we work

Small, high-trust team. You'll have a lot of ownership and very little bureaucracy. We prototype fast, measure honestly, and ship.

❤️ Well Being, Compensation and Benefits

We care about your well-being. Along with excellent health insurance, we offer flexible time off, learning & development initiatives and hours that are designed to provide work/life balance. We regularly host team-building sessions and encourage discussions around mental health.

We reward talent and believe in acknowledging people for their contributions. We offer industry-leading compensation, along with generous equity. As a rapidly growing business, there are endless opportunities to grow your career with Merkle Science.