About the role
Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We're a global organization who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes constantly, and our job is to create user-facing products supported by our best-in-class data, allowing us to adapt to those rapid changes and bring maximal value to our customers. We're looking for a Senior Data Scientist to join our Research and Intelligence organisation in London. You'll sit within one of our four research chapters, Account and Smart Contracts, embedded in a broader eleven-person team that develops the behavioural heuristics, graph algorithms, and machine learning techniques that power the most advanced blockchain analysis in the industry. Much of what we work on is state of the art, and often ahead of academia, and your work will directly shape the data that fuels Chainalysis' products and customers across the globe. This role is ideal for someone who is energised by deeply technical, ambiguous problems at the intersection of data science, graph computation, and on-chain analysis, and who wants to take ownership of projects end-to-end. In this role, you'll : Own the execution of one or more production data science projects, translating broad problem statements into well-scoped tasks and credible analytical results that meet stakeholder expectations. Design, develop, and validate novel behavioral heuristics and algorithms over EVM (and other) blockchain data to attribute on-chain activity and uncover new insights. Apply advanced techniques including graph computation, statistical modeling, and machine learning to large-scale on-chain datasets. Identify and resolve inefficiencies in code, methodology, and workflows; ensure your work integrates cleanly into our production data and tooling stack. Clearly articulate and defend methodology and results to both technical and non-technical stakeholders, maintaining alignment through consistent communication. Mentor junior team members, contribute to technical hiring, and share knowledge. Collaborate closely with peers to bring research from prototype to production. We're looking for candidates who have : A PhD in computer science, machine learning, statistics, physics, mathematics, or a related technical field – or equivalent industry experience working on advanced, data-intensive problems. Expert-level proficiency in Python and SQL, with a track record of writing clean, testable, production-quality code. Demonstrated experience applying advanced analytical techniques (e.g. graph algorithms, ML, statistical inference) to large, messy datasets. Comfort working with EVM-based blockchain data, or strong evidence of the aptitude to ramp up quickly on EVM data structures and protocols. A demonstrated ability to take ownership of projects: decomposing
