Senior Data Scientist

Chainalysis Inc.

Greater London, UK

10 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.collegerecruiter.com

Tech stack

Big Data Data Structures Python (Programming Language) Machine Learning Operational Databases Blockchain SQL Databases Apache Spark Pyspark Information Technology Production Code Terraform

+1 more

Databricks

Job description

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.

Requirements

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., * 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.