Data Science Manager, Attribution

At TRM Labs, we’re on a mission to build the best blockchain intelligence on earth — and we’re looking for a seasoned Data Science Manager to lead the charge on one of our most foundational initiatives: connecting blockchain activity to real-world entities with unmatched precision and scale. This team tackles one of the most challenging and high-impact problems in blockchain analytics — combining intelligence, data science, and applied machine learning. The role is a unique blend of technical leadership, product strategy, and people management — perfect for someone who thrives in ambiguity and wants to shape how the world understands what’s happening on-chain.

The impact you will have:

• Lead and mentor a high-performing data science team operating at the intersection of blockchain, intelligence, and machine learning — balancing individual execution with strategic vision.
• Drive technical innovation across a diverse stack (e.g., Airflow, BigQuery, Kafka, Python), ensuring our data models and pipelines scale with quality and precision.
• Collaborate cross-functionally with engineering, product, and intelligence teams to transform raw blockchain data into insights that power TRM’s products and customer experiences.
• Help make TRM the market leader in blockchain Attribution, setting new standards for accuracy, trust, and usability in blockchain data.
• Recruit, develop, and retain top talent — and play a critical role in growing the team’s technical and product maturity.

What we’re looking for:

• Ability to understand the customer’s long-term business goals and translate them into super ambitious and short actionable plans that drive success.
• Deep understanding of AI technologies, LLMs, ML, NLP, and their applications in production environments.
• A strong track record of building and deploying multiple AI systems in production.

About the Team:

• Technical depth: You’ve led data science teams in complex, ambiguous environments, and can operate across the stack — from debugging DAGs to modeling strategy.
• Product sense: You understand customer problems deeply and can shape product direction through data and experimentation.
• Hands-on leadership: You’re not just a people manager. You stay close to the work, unblock your team, and lead by example.
• Curiosity & growth mindset: You’re energized by novel problems, seek truth through data, and thrive in fast-paced, scrappy environments.
• Strong communicator: You make your thinking legible — to engineers, PMs, and executives — and influence through clarity, not volume.
• 4+ years of experience managing data science or ML teams.
• Proven experience with large-scale data systems (e.g., BigQuery, Snowflake).
• Strong programming skills in Python and familiarity with production code practices (git, testing, notebooks).
• Bachelor’s degree or higher in a quantitative field (CS, Stats, Physics, Engineering). Advanced degree preferred.

About the Team

• A team of ~6 DSists (4 mid-level, 2 senior+), fully remote, with regular async and synchronous collaboration.
• High-trust, fast-moving, and relentlessly curious — we work at the bleeding edge of blockchain intelligence.
• US time zones preferred; at least 6 hours overlap with US Eastern time required.
• On-call responsibilities rotate every ~2 months.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $270,000 - $290,000. Please note that the base range is applicable to the US and will be different depending on the country.
• Additionally, this role may be eligible to participate in TRM’s equity plan.