Senior Data Scientist, Product Analytics

BUILD A SAFER WORLD. TRM Labs provides AI-powered intelligence solutions that help public and private sector agencies investigate and disrupt crime. TRM's platforms enable investigators to trace illicit activity, build cases, and construct operating pictures of threat networks. Leading agencies and businesses worldwide rely on TRM to make the world safer and more secure. We’re hiring a Senior Data Scientist, Product Analytics to support our Product Analytics function at TRM. 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. The impact you will have: - Experimentation & Causal Analysis — 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. - Insight Generation & Roadmap Influence — Translate complex product & customer data into crisp narratives that reshape priorities and unlock ARR or risk‑reduction upside. - KPI Framework & Dashboard Ownership — Define north‑star and supporting metrics, build data models & dashboards, and ensure leadership consumes a single source of truth for product health. - Data Quality & Instrumentation Governance — Partner with R&D to spec, QA, and monitor event tracking; author tests and anomaly alerts so teams trust the numbers. What we’re looking for: - Ownership Mindset — Proactively improves instrumentation, ensures reliable data pipelines, and closes the loop between product changes and insights. - Experiment Design & Statistical Methods — Skilled in designing robust experiments and deriving meaningful causal inferences that influence product direction. - Advanced SQL Modeling — Writes modular, tested SQL models that power dashboards and experimentation frameworks; contributes to codebase via GitHub. - Data Storytelling & Stakeholder Influence — Builds compelling narratives that connect user behavior to business outcomes; adjusts depth and format for execs vs. ICs. About the Team: We are a small but foundational function — currently a team of 2 — with direct access to senior decision-makers. This role is ideal for someone who thrives in high-autonomy environments and wants to shape how analytics is done at a fast-scaling company. The team operates with high trust, close cross-functional collaboration, and a deep investment in product thinking. We default to async communication but prioritize fast iteration and clarity. Weekly standups with Product and R&D ensure close alignment with product launches and prioritization. Operating Rhythm: - This is a US-based role. - Expect ~4 hours of overlap with PST working hours. Learn about TRM Speed in this position: - Able to extract insights for every product release within 72 hours of launch. - Influences quarterly roadmap priorities through data-backed insights. - Drives velocity of experiment volume — aims for experiments on all net-new product functionality. LIFE AT TRM We are building a safer world. That promise shows up in how we work every day. TRM moves quickly. We are a high velocity, high ownership team that expects clarity, follow-through, and impact. People who thrive here are energized by hard problems, experimentation, and continuous feedback. If something takes months elsewhere, it will ship here in days. Our work sits at the intersection of AI, nati