Senior Data Scientist, Product Analytics

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Application

Cover letter

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Assessment

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Deadline

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Where they hire

State eligibility is not yet verified.

About this role

Senior Data Scientist, Product Analytics North America | Remote 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

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