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Senior Data Scientist, Product AnalyticsTRM • New York, New York, United States
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Senior Data Scientist, Product Analytics

TRM
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

Senior Data Scientist, Product Analytics TRM Labs provides blockchain analytics and AI solutions to help law enforcement, national security agencies, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto‑related fraud and financial crime. TRM’s blockchain intelligence and AI platforms trace the source and destination of funds, identify illicit activity, build cases, and construct operating pictures of threats for a safer, more secure world.
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. With product growth and complexity, we need sharper insight loops to safely 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 success metrics, and help us build the right things for the right users.
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, foundational function — currently a team of 2 — with direct access to senior decision‑makers. This role suits 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.
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.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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