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

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.

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