Staff Data Scientist

#senior #удаленка Chainalysis Staff Data Scientist Полная занятость Формат работы: удалённо (London Office) ☑️ Чем предстоит заниматься -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 ☑️ Наши пожелания к кандидатам -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 Nice to have: -A PhD or equivalent research training in a quantitative field, and/or familiarity with Databricks, dbt, Spark/PySpark, or similar large-scale data platforms -Experience modifying infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines -Experience building shared tools or platforms that multiply team output and onboarding others onto them -Experience with UTXO, EVM, or other blockchain data, graph computation, and/or the cryptocurrency ecosystem