Senior Data Scientist (Web3)

Senior Data Scientist

Company

Alterya by Chainalysis

Conditions

3 days agoSenior London, UK Hybrid Full Time Data Science Jobs by Alterya by Chainalysis

Alterya by Chainalysis Alterya by Chainalysis is an AI-powered crypto fraud prevention tool designed to safeguard customers from authorized push-payment (APP) fraud and secure platforms with advanced threat intelligence. Distributed Funding M&A ($150T) Investors Chainalysis Projects Alterya About Alterya by Chainalysis Alterya by Chainalysis connects crypto fraud across financial identifiers to block scams instantly. It safeguards customers from authorized push-payment (APP) fraud and secures platforms with AI-powered threat intelligence. The service detects and blocks fraudulent payments before funds leave a customer's account, monitors over $8B in monthly transactions, and protects over 100M users. It helps businesses grow by reducing false declines and increasing approval rates, thereby building customer trust and ensuring compliance with fraud management regulations. Alterya provides 360° protection from scams and money mules by automatically preventing payments to scammers, identifying fraudulent accounts during KYC processes, linking scam activity across networks with reliable intelligence, and tracking fraudulent activity on the platform. View jobs by Alterya by Chainalysis

Skills

Blockchain Analysis Databricks Pyspark Graph Algorithm Evm Postgres Dbt Statistical Modeling Terraform Machine Learning Data Pipeline Aws Spark Mentorship Sql Python Communication Entity Resolution

About the Role

You'll join the Research and Intelligence organisation in London, sitting within the Account and Smart Contracts research chapter as part of a broader eleven-person team developing behavioural heuristics, graph algorithms, and machine learning techniques that power blockchain analysis. Your work will directly shape the data that fuels products and customers across the globe. You'll tackle deeply technical, ambiguous problems at the intersection of data science, graph computation, and on-chain analysis, taking ownership of projects end-to-end.

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 (preferred)
• Modified infrastructure-as-code (e.g. Terraform) or contributing to production data pipelines (preferred)
• Mentored junior data scientists or engineers (preferred)
• Knowledge of, or passion for, the cryptocurrency and blockchain space (preferred)

Responsibilities

• Own the execution of one or more production data science projects, translating broad problem statements into well-scoped tasks and credible analytical results
• 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 work integrates cleanly into the production data and tooling stack
• Clearly articulate and defend methodology and results to technical and non-technical stakeholders
• Mentor junior team members, contribute to technical hiring, and share knowledge
• Collaborate closely with peers to bring research from prototype to production

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