Chainalysis

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead production data science projects applying graph algorithms, ML, and statistical modeling to large on-chain datasets. Design and validate behavioral heuristics over blockchain data, own end-to-end projects, mentor teammates, and communicate complex methodology to technical and non-technical stakeholders from a London-based team.

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.
•Collaborate closely with peers to bring research from prototype to production.

Key Requirements

•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.

Experience:BlockchainCryptocurrencyOn-chain

Education:PhD / Doctorate

Skills:PythonSQLDatabricksDBTPySparkSparkTerraformAWSPostgres

Languages:English

Tech Stack:PythonSQLDatabricksDBTPySparkSparkTerraformAWSPostgres

Company Brief

Chainalysis

Provides blockchain data, analytics, and investigation software to law enforcement, regulators, financial institutions, and crypto businesses to detect illicit activity, ensure compliance, and build trust in digital asset ecosystems.

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor

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Chainalysis

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: London

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•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.
•Collaborate closely with peers to bring research from prototype to production.

Key Requirements

•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.

Experience:BlockchainCryptocurrencyOn-chain

Education:PhD / Doctorate

Skills:PythonSQLDatabricksDBTPySparkSparkTerraformAWSPostgres

Languages:English

Tech Stack:PythonSQLDatabricksDBTPySparkSparkTerraformAWSPostgres

Company Brief

Chainalysis

Industry: RegTech

Company Size: Large (251 to 1,000 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series F

Headquarters: New York, United States

Founded: 2014

Glassdoor: 2.8

Website LinkedIn Glassdoor