This role is closed
Chainalysis is no longer accepting applicants for this position. Browse other live web3 jobs or check out similar roles below.
Get Discovered
No applications. Teams find and message you directly.
Get discovered. Join the talent poolNo account needed · 0 people in the pool→
No account needed. Teams find you and reach out directly.
0 people already in the pool
◆ 6/10
aianalyticscryptoweb3
About this role
Join Chainalysis as a Staff Data Scientist to lead data science projects, develop analytical methods, and collaborate across teams in a remote role.
Description
Chainalysis is a leading company in blockchain analysis, providing insights into cryptocurrency transactions and helping organizations understand on-chain activity.
Responsibilities
Responsibilities
- Own and prioritise multiple concurrent production data-science projects or systems, translating broad problem statements into actionable work, managing evolving requirements, and delivering measurable outcomes.
- Design, develop, and validate novel analytical methods, statistical models, behavioural heuristics, and algorithms across UTXO, EVM, and other blockchain data to attribute on-chain activity and uncover customer-relevant insights.
- Stay current on advances in data science and blockchain analysis; evaluate and pilot techniques such as graph computation, statistical modelling, and machine learning on large-scale on-chain datasets.
- Identify and resolve inefficiencies in code, methodology, and workflows; make architectural decisions; define and track quality metrics; understand upstream and downstream dependencies; and balance long-term system health and technical debt against new delivery.
- Drive cross-functional alignment by clearly articulating and defending methodology and results, challenging assumptions when warranted, and building consensus as requirements evolve.
- Mentor team members across levels within your domain, support onboarding, contribute to technical hiring, and share knowledge through documentation and presentations.
- Collaborate across Research, Global Intelligence, Product, and Engineering to move research from prototype to dependable production systems and create tools or platforms that multiply team output.
Requirements
Requirements
- Deep expertise in statistics, machine learning, computer science, physics, mathematics, or another quantitative discipline, demonstrated through advanced industry or research work.
- 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.
- Demonstrated ability to learn unfamiliar technical domains and data models quickly; prior blockchain experience is welcome but not required.
- A demonstrated ability to own and prioritise multiple concurrent projects or systems, make sound architectural and methodological decisions, and drive cross-functional stakeholders toward delivery.
- 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, mentor technical practitioners, and share knowledge across a team.
Job Details
Market range (est.)$120k–$245k
LocationRemote
AI Score★★★★★★☆☆☆☆ 6/10
PostedOct 9, 2026 (3d ago)
Tags & Skills
aianalyticscryptoweb3fintechData Scientistremote
Tech Stack
PythonSQLmachine learningstatistics