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.