Responsibilities
- Develop, validate, and deploy clustering and attribution methods using measurable precision and coverage metrics instead of assumptions.
- Manage full-cycle data workflows: extract, clean, merge, and model extensive blockchain datasets independently.
- Create and sustain data pipelines that transition heuristics from experimental notebooks to live production systems, including backfilling and validation.
- Analyze complex edge cases such as mixers, cross-chain bridges, exchange wallets, and fund consolidation behaviors to derive scalable rules.
- Collaborate with investigation and product teams to define accurate outcomes and assess performance against verified data.
- Rapidly prototype solutions, then refine and solidify effective approaches for long-term use.
Benefits
- Comprehensive health coverage
- Flexible vacation and time-off policy
- Support for learning and professional growth
- Work hours structured to support personal well-being
- Scheduled team bonding activities
- Open conversations about mental wellness
- Top-tier pay aligned with market standards
- Significant equity offering
Compensation
Industry-leading compensation with generous equity
Work Arrangement
Remote (Worldwide) — New York, Singapore, Bangalore, London
Team
Small, high-trust team with high ownership and minimal bureaucracy
Other
- Small, high-trust team with a lot of ownership and very little bureaucracy
- Prototyping fast, measuring honestly, and shipping
- Regular team-building sessions
- Focus on mental health discussions
