Senior Manager, Data Science
You will lead and mentor a high-performing data science team operating at the intersection of blockchain, intelligence, and machine learning, balancing hands-on execution with strategic vision. You will 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 transform raw blockchain data into insights that power TRM's products and customer experiences. You will help make TRM the market leader in blockchain attribution, setting new standards for accuracy, trust, and usability in blockchain data. You will also recruit, develop, and retain top talent, playing a critical role in growing the team's technical and product maturity.
Responsibilities
- Lead and mentor a high-performing data science team
- Drive technical innovation across the data stack including Airflow, BigQuery, Kafka, and Python
- Collaborate cross-functionally with engineering, product, and intelligence teams
- Help make TRM the market leader in blockchain attribution
- Recruit, develop, and retain top talent
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