Senior Data Scientist

Responsibilities

• Own the execution of production data science projects, translating broad problem statements into well-scoped tasks and analytical results.
• Design, develop, and validate novel behavioral heuristics and algorithms over EVM and other blockchain data to uncover 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 to ensure clean integration into production tooling.
• Articulate and defend methodology and results to both technical and non-technical stakeholders.
• Mentor junior team members and collaborate with peers to bring research from prototype to production.

Requirements

• PhD in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related technical field (or equivalent industry experience).
• Expert-level proficiency in Python and SQL with a track record of writing clean, production-quality code.
• Demonstrated experience applying advanced analytical techniques such as graph algorithms, ML, or statistical inference to large, messy datasets.
• Aptitude for working with EVM-based blockchain data or the ability to ramp up quickly on blockchain data structures.
• Strong ability to take ownership of projects and navigate ambiguous, deeply technical problems.
• Excellent written and verbal communication skills.

Preferred Qualifications

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

About the Company

Chainalysis provides complete knowledge of what is happening on blockchains through data, services, and solutions. We help businesses and governments navigate the blockchain ecosystem safely and with confidence by solving the hardest technical challenges in the industry.