Role Overview
Trm Labs is hiring a Senior Data Scientist, Full Stack (LATAM). This is a full-time remote role, with the team based in South America. Part of Trm Labs's Risk hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Senior-level Risk roles is $122k-$160k (based on 39 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job description
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.
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 high degree of ambiguity
- A high level of personal ownership and accountability
- Close collaboration across teams and functions
- Frequent, high-touch communication
- Creative problem solving and out-of-the-box thinking
- A pace that rewards urgency, adaptability, and outcomes
This environment is energizing for people who enjoy building, solving hard problems, and making progress in situations that are not always fully defined. It also requires comfort navigating ambiguity, adjusting course as new information emerges, and maintaining focus and positivity in a fast-moving and intense environment.
We also recognize that this style of operating is not for everyone. If you are primarily optimizing for predictability or a consistently balanced workload, we encourage you to use the interview process to pressure test whether this environment is truly the right fit. We want teammates who thrive here, not just survive here.
At the same time, many people find this work deeply rewarding. If you are excited by meaningful problems, motivated by ambitious goals, and energized by working alongside mission-driven colleagues, there is a good chance you will find TRM to be an exceptional place to grow and contribute. Learn more: Interviewing at TRM: How We Hire and What Success Looks Like https://www.trmlabs.com/resources/blog/interviewing-at-trm-how-we-hire-and-what-success-looks-like
AI FLUENCY AT TRM
AI fluency is a baseline expectation at TRM.
We believe AI meaningfully changes how top performers operate. We expect every team member to use AI to accelerate and reimagine their craft, not just automate surface tasks.
At TRM, AI fluency means you are among the top 10 percent of operators in your function in how you apply AI to:
- Accelerate repeatable workflows
- Structure and solve problems
- Improve output quality
- Increase speed and leverage
You will be evaluated on applied AI fluency during the interview process.
LEADERSHIP PRINCIPLES
We hire and grow against three leadership principles. They’re the standards for how we operate, treat each other, and make decisions.
- Impact-Oriented Trailblazer: We put customers first and move with speed, focus, and adaptability. We treat every plan like an experiment – test, ship, measure, and iterate quickly.
- Master Craftsperson: We care deeply about our craft. We balance speed with high standards, own outcomes end‑to‑end, and invest in getting better everyday.
- Inspiring Colleague: We add clarity and energy, not noise. We bring humility, candor, and a one‑team mindset — giving and receiving feedback to make the team stronger.
JOIN OUR MISSION
At TRM we care deeply about our craft. We are looking for individuals who want their work to matter, who experiment with speed and rigor, and who take pride in building a safer world for billions of people. If you’re excited by TRM’s mission but don’t check every box, we encourage you to apply — we hire for slope, judgment, and the will to learn fast.
TRM is a Series C company with $220M in total funding, backed by Blockchain Capital, Goldman Sachs, Bessemer, Y Combinator, Thoma Bravo, and others. Headquartered in San Francisco, TRM operates as a distributed-first company with hubs in Los Angeles, San Francisco, New York, Washington D.C., London, and Singapore.
PRIVACY POLICY AND ADDITIONAL INFORMATION
By submitting your application, you agree to allow TRM Labs to process your personal information in accordance with our Privacy Policy https://www.trmlabs.com/policies/privacy-policy.
We collect the information you provide (such as your resume, work history, and contact details) solely for the purpose of evaluating your candidacy for current and future roles at TRM.
Because our hiring cycles for certain positions may span 24 to 36 months, we retain your personal information for up to 36 months from the date of your application. After that period, your data is deleted unless a different retention period is required or permitted by law.
If you are located in the European Economic Area, the United Kingdom, or another jurisdiction with applicable data protection laws, you have the right to access, correct, or request deletion of your personal data at any time before that period ends. To exercise any of these rights, contact us at privacy@trmlabs.com.
To notify TRM Labs that you believe this job posting is non-compliant, please submit a report through this form https://docs.google.com/forms/d/e/1FAIpQLSc6e8jRCl2cQwgIzXLpIGQXtwvMQh__TcokvO2toAAkT44A6Q/viewform?usp=dialog. No response will be provided to inquiries unrelated to job posting compliance.
The use of AI tools of any kind (including but not limited to notetakers, interview assistants, and real-time coaching tools such as Otter.ai, Fireflies, Fathom, Cluey, or similar) during TRM interviews is not permitted without prior approval from TRM. TRM uses its own internal tools for note-taking to ensure a consistent and confidential experience for all candidates.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this form https://docs.google.com/forms/d/e/1FAIpQLSevmAzPxWOYm_7kMHb9lEJlX3tpdBeHvvvNWjsI_6xhUfnXjw/viewform?usp=dialog.
RECRUITMENT AGENCIES
TRM Labs does not accept unsolicited agency resumes. Please do not forward resumes to TRM employees. TRM Labs is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company without a signed agreement.
LEARN MORE: COMPANY VALUES https://www.trmlabs.com/culture | INTERVIEWING https://www.trmlabs.com/interviewing | FAQS https://www.trmlabs.com/faq
About Trm Labs

Trm Labs
trm.co
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Frequently Asked Questions
How do I apply for the Senior Data Scientist, Full Stack (LATAM) position at Trm Labs?
Use the Apply button above to submit your application directly to Trm Labs. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Is the Senior Data Scientist, Full Stack (LATAM) role at Trm Labs remote?
Yes. This is a remote role. The team is based in South America, but the position itself does not require relocating to that office.
What does a Senior Data Scientist, Full Stack (LATAM) at Trm Labs earn?
Trm Labs has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Senior Data Scientist, Full Stack (LATAM) role at Trm Labs posted?
This role was posted on May 25, 2026 (45 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
How much experience does the Senior Data Scientist, Full Stack (LATAM) role at Trm Labs require?
This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Trm Labs lists their specific requirements in the description below, so review the must-have qualifications closely before applying.
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