Senior Data Scientist

Requirements:

• 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.

Nice to Haves:

• 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.

What You'll Be Doing:

• 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.

Perks and Benefits:

• We believe that diversity of experience and thought makes us stronger.
• Commitment to continually revisit and reevaluate our diversity culture.
• Encouraging applicants from all backgrounds.
• Accessibility accommodations available for the interview process.