Senior Data Scientist, Full Stack

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.

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.

As a Senior Data Scientist, Attribution, you will be embedded within a specific risk category (e.g., Sanctions, Cybercrime, Counter Terrorism) and own the attribution algorithms that drive direct customer outcomes — from seizing illicit funds to disrupting crypto-enabled crime networks. You'll operate as equal parts Subject Matter Expert and Data Scientist, translating deep domain knowledge into production-grade intelligence.

The impact you'll have here:

• Own end-to-end attribution for a risk category: identify high-impact targets, build algorithms (heuristics, ML models, AI agents), and ship to production.

• Collaborate tightly with — and become — a Subject Matter Expert for your category, translating customer and GTM needs into actionable intelligence.

• Navigate all intelligence layers (Network / On-chain / Protocol) to uncover patterns competitors can't replicate.

• Ship production-quality code — heuristics, ML models, and data pipelines — with rigorous evaluation and scalable architecture.

• Drive measurable outcomes: billions in illicit funds traced, seized, or prevented.

What we’re looking for:

• Quantitative background (Computer Science, Statistics, Engineering, Economics, Physics).

• Strong problem-solving mindset: gets to the root cause, leverages creativity, and thrives in ambiguity with a hypothesis-driven, iterative approach.

• Demonstrated domain curiosity — ability to absorb and apply expertise in blockchain, fraud, money laundering, or cybercrime.

• 6+ years in an analytical role with strong SQL, Python, and AI-assisted coding tools (Cursor, Claude Code).

• Experience with distributed data systems (Spark, BigQuery, Airflow) and shipping production code.

• Strong async communication (Loom, Slack, Notion) and ability to own work independently in a remote environment.

• Bonus: Deep ML experience, prior work in crypto, financial crime, or financial institutions.

About the Team:

• Data Scientists are embedded within risk categories teams (Sanctions, Cybercrime, Nation States, etc.), working closely with SMEs, engineers, and cross-functional partners.

• Fully remote and globally distributed. Most overlap occurs 7am–12pm PST for meetings and collaboration.

• All team members must have at least 4-hour overlap with PST business hours.

• On-call responsibilities: Analytics on-call (< 1 hr/day monthly) and Data Science on-call (1-2 hrs/day every 3 months).

Learn about TRM Speed in this position:

• Rapid Customer Impact. Deliver last-minute, high-stakes projects for key customers — turning around attribution insights in days, not weeks.

• MVP to Production. Build complex algorithms with tight timeframes (1-2 sprints for MVP) and iterate based on real customer feedback.

• Parallel Execution. Juggle multiple priorities across categories and stakeholders while maintaining quality and speed.

About TRM's Engineering Levels:

Engineer: Responsible for helping to define project milestones and executing small decision decisions independently with the appropriate tradeoffs between simplicity, readability, and performance. Provides mentorship to junior engineers, and enhances operational excellence through tech debt reduction and knowledge sharing.

Senior Engineer: Successfully designs and documents system improvements and features for an OKR/project from the ground up. Consistently delivers efficient and reusable systems, optimizes team throughput with appropriate tradeoffs, mentors team members, and enhances cross-team collaboration through documentation and knowledge sharing.

Staff Engineer: Drives scoping and execution of one or more OKRs/projects that impact multiple teams. Partners with stakeholders to set the team vision and technical roadmaps for one or more products. Is a role model and mentor to the entire engineering organization. Ensures system health and quality with operational reviews, testing strategies, and monitoring rigor.

The following represents the expected range of compensation for this role:

• Individual pay is determined by skills, qualifications, experience, and location. The compensation details listed in this posting reflect the US base salary only.

• The estimated base salary range for this role is $180,000 - $210,000

• Additionally, this role may be eligible to participate in TRM’s equity plan.

• Please note – we factor in the different costs for geographies outside the United States.

APPLICATION INSTRUCTIONS

If you’re interested in joining TRM, we encourage you to apply directly. Every application is reviewed by our Talent team.

Before applying, review the job description carefully and highlight the experience and impact that best demonstrate the required qualifications. Please also provide thoughtful and accurate answers to the application questions, as these will be used to evaluate your qualifications for the role.

If you send your resume directly to someone at TRM, we can’t guarantee it will reach the appropriate hiring team. Applying directly is the best way to ensure you’re considered.

WHAT TO EXPECT FROM OUR INTERVIEW PROCESS

Our process is designed to understand how you think, solve problems, and deliver impact, while giving you the opportunity to evaluate TRM. Most interview processes include a case study, AI skills assessment, and Leadership Principles interview.

• Recruiter Intro: Explore your experience, motivations, and alignment with the role.

• Hiring Manager: Dive deeper into your relevant experience, skills, and impact.

• First Round: Typically 1–2 interviews focused on the skills most critical to the role.

• Final Round: Typically 3–5 interviews to go deeper on your craft, problem-solving, and alignment with TRM.

• References: We’ll speak with former colleagues who can provide perspective on your work and impact.

• Offer: If it’s a mutual fit, your recruiter will walk you through your offer and answer your questions.

• Welcome to TRM: Once you sign, we’ll get you ready for your first day and onboarding.

Your recruiter will share your specific interview plan and preparation guidance along the way.

Learn more about interviewing at TRM https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like

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, national security, and fighting crime. The problems are complex, the stakes are real, and the environment evolves quickly. The pace and intensity of the work reflect the importance of the mission. As a result, the way we operate requires a high level of ownership, adaptability, collaboration, and creative problem-solving.

At TRM, you should expect:

• Priorities and targets to change quickly as we experiment and iterate

• Work that often requires operating with a hig