Staff Data Scientist

Описание вакансии

#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

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