Data Science Lead — Blockchain Intelligence Models — Hybrid, Washington, D.C., United States

Overview

Guide a data-science team responsible for the evidence and models behind blockchain intelligence. This role requires both people leadership and current technical depth. The work includes defining useful research questions, delivering dependable datasets and maintaining a clear record of what each model supports. Governance is part of the technical responsibility, including validation, monitoring and correction when results no longer meet the required standard.

Requirements

• Demonstrate experience managing and hiring data scientists, strong Python and SQL, and practical machine-learning work on large behavioral or transaction datasets.
• Understand modern cloud data platforms and apply AI tools critically, with clear verification standards for the team.
• US citizenship is required.

Responsibilities

• Set team objectives, develop data scientists and own technical hiring decisions, keeping capacity aligned with the most valuable analytical work.
• Design and review methods for attribution, clustering and related intelligence tasks, remaining personally involved in code and methodological decisions.
• Maintain the model inventory, validation evidence and monitoring thresholds, bringing material changes for review and resolving identified weaknesses.
• Coordinate data collection and delivery with intelligence, product and engineering colleagues, explaining analytical limitations and the reasoning behind priorities.

Conditions

• This is full-time hybrid work in Washington, D.C.; residence there or willingness to relocate is required.

Tech stack

• Python
• SQL
• Spark
• Databricks
• AWS