Senior Manager, Data Science
TRM Labs · United States ·
- Work mode
- Remote
- Seniority
- Senior
- Category
- Data science
- Experience
- 4+ years
You will lead and mentor a high-performing data science team working at the intersection of blockchain, intelligence, and machine learning, balancing hands-on execution with strategic vision. You'll drive technical innovation across a diverse stack, ensuring data models and pipelines scale with quality and precision. You will collaborate cross-functionally with engineering, product, and intelligence teams to turn raw blockchain data into insights that power products and customer experiences. You'll help establish market leadership in blockchain attribution, setting new standards for accuracy, trust, and usability. You will also recruit, develop, and retain top talent, playing a critical role in growing the team's technical and product maturity. On-call responsibilities rotate roughly every two months, and you should expect to engage with customer-facing incidents as needed, including outside of normal working hours.
Responsibilities
- Lead and mentor a high-performing data science team
- Drive technical innovation across the data stack (Airflow, BigQuery, Kafka, Python)
- Ensure data models and pipelines scale with quality and precision
- Collaborate cross-functionally with engineering, product, and intelligence teams
- Transform raw blockchain data into insights that power products and customer experiences
- Help make the company the market leader in blockchain attribution
- Recruit, develop, and retain top talent
- Grow the team's technical and product maturity
- Participate in on-call rotation and incident response
Requirements
- 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
- At least 6 hours overlap with US Eastern time required
Benefits
- Equity plan eligibility
- Fully remote work