The vacancy is well-structured with clear responsibilities and a solid tech stack, but lacks specific salary details.
Check Match — Just drop your CV
See your fit for Data Scientist, Blockchain Intelligence in seconds.
Overview
Join Merkle Science as a Data Scientist to transform blockchain data into actionable intelligence. Work with cutting-edge technology in a remote environment focused on compliance and investigations. ⚡️ 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.
What you'll do
- •Design, test, and ship clustering and attribution heuristics, and measure them with real precision/coverage metrics rather than vibes.
- •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.
- •Investigate edge cases (mixers, bridges, exchange hot wallets, consolidation patterns) and translate findings into repeatable logic.
- •Partner with investigations and product to define what "correct" looks like and benchmark against ground truth.
- •Prototype quickly, then harden what works.
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.
What we'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.