Senior Data Scientist, Product Analytics

TRM Labs
70d$160,000 - $175,000

About The Position

TRM Labs is a blockchain intelligence company committed to fighting crime and creating a safer world. By leveraging blockchain data, threat intelligence, and advanced analytics, our products empower governments, financial institutions, and crypto businesses to combat illicit activity and global security threats. At TRM, you'll join a mission-driven, fast-paced team made up of experts in law enforcement, data science, engineering, and financial intelligence, tackling complex global challenges daily. Whether analyzing blockchain data, developing cutting-edge tools, or collaborating with global organizations, you'll have the opportunity to make a meaningful and lasting impact. We’re hiring a Senior Product Analyst to establish and lead our Product Analytics function at TRM. As our first dedicated hire in this area, you’ll play a foundational role in shaping how we use data to drive product decisions. TRM’s product surface and customer base have scaled significantly in recent quarters — and with that growth comes complexity. We need sharper insight loops to confidently answer: Did this feature work? Should we double down or pivot? Where are we leaving value on the table? This role exists to close that gap. You'll be the bridge between what we build and why it works — combining causal inference, business context, and data storytelling to uncover what drives impact. Your work will shape the product roadmap, define how success is measured, and help ensure we’re building the right things for the right users.

Requirements

  • Skilled in designing robust experiments and deriving meaningful causal inferences that influence product direction.
  • Writes modular, tested SQL models that power dashboards and experimentation frameworks; contributes to codebase via GitHub.
  • Builds compelling narratives that connect user behavior to business outcomes; adjusts depth and format for execs vs. ICs.
  • Proactively improves instrumentation, ensures reliable data pipelines, and closes the loop between product changes and insights.

Responsibilities

  • Design, launch, and analyze controlled experiments (feature flags, quasi-experiments) to validate product bets; deliver statistically robust recommendations that directly influence ship/iterate/kill decisions.
  • Translate complex product & customer data into crisp narratives that reshape priorities and unlock ARR or risk-reduction upside.
  • Define north-star and supporting metrics, build data models & dashboards, and ensure leadership consumes a single source of truth for product health.
  • Partner with R&D to spec, QA, and monitor event tracking; author tests and anomaly alerts so teams trust the numbers.

Benefits

  • Generous PTO
  • Holidays
  • Parental Leave for full time employees
  • Participation in TRM’s equity plan
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