Senior Data Scientist, Full Stack

You will own attribution algorithms for a risk category, translate domain expertise into production-grade intelligence, build heuristics and machine learning models, develop data pipelines, and collaborate with subject matter experts and engineers to uncover patterns and deliver actionable insights.

Responsibilities

• Own end-to-end attribution for a risk category and ship heuristics, machine learning models, and AI agents to production.
• Become a subject matter expert for a risk category and translate customer and go-to-market needs into actionable intelligence.
• Analyze network, on-chain, and protocol intelligence layers to uncover distinctive patterns.
• Ship production-quality code, models, and data pipelines with rigorous evaluation and scalable architecture.
• Drive measurable outcomes by tracing, seizing, or preventing illicit funds.

Requirements

• Quantitative background in computer science, statistics, engineering, economics, or physics.
• 6+ years of experience in an analytical role with strong SQL, Python, and AI-assisted coding skills.
• Experience with distributed data systems including Spark, BigQuery, and Airflow, plus production code delivery.
• Strong problem-solving skills, domain curiosity, and comfort working through ambiguity.
• Knowledge of blockchain, fraud, money laundering, cybercrime, crypto, or financial institutions is beneficial.
• Strong asynchronous communication skills and ability to work independently in a remote environment.