Senior Data Scientist, Full Stack (LATAM)

You will own attribution algorithms for a risk category, translate domain expertise into production-grade intelligence, collaborate across network, on-chain, and protocol layers, and ship evaluated heuristics, machine learning models, and data pipelines that drive measurable customer outcomes.

Responsibilities

• Own end-to-end attribution for a risk category.
• Identify high-impact targets and build heuristics, machine learning models, and AI agents.
• Ship production-quality solutions with rigorous evaluation and scalable architecture.
• Collaborate with subject matter experts and translate customer needs into actionable intelligence.
• Navigate network, on-chain, and protocol layers to uncover unique patterns.
• Drive measurable outcomes involving illicit funds traced, seized, or prevented.

Requirements

• Quantitative background in computer science, statistics, engineering, economics, or physics.
• Strong problem-solving skills and a hypothesis-driven, iterative approach.
• Domain curiosity or expertise in blockchain, fraud, money laundering, or cybercrime.
• Six or more years in an analytical role with strong SQL, Python, and AI-assisted coding skills.
• Experience with Spark, BigQuery, Airflow, and production code.
• Strong async communication skills and ability to work independently remotely.
• At least four hours of overlap with PST business hours.
• Bonus experience in deep machine learning, crypto, financial crime, or financial institutions.