Chainalysis
30/05/2026
Full time
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 We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here.