Senior Data Scientist

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 requirements, driving them to completion, and proactively seeking clarity from stakeholders.
• An analytical, open-minded approach to problem solving – comfortable navigating ambiguity and willing to dive into problems outside your day-to-day scope.
• Strong written and verbal communication skills, including the ability to explain complex methodology to diverse audiences.

You might also have

• Familiarity with Databricks, DBT, Spark/PySpark, or similar large-scale data platforms.
• Modified infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines.
• Mentored junior data scientists or engineers.
• Knowledge of, or passion for, the cryptocurrency and blockchain space.

Technologies we use

• Python
• SQL
• Databricks
• DBT
• PySpark / Spark
• Terraform
• AWS
• Postgres

AI at Chainalysis

AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.

AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.