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Senior Data Scientist, Full StackCrypto Pro Network • New York, New York, United States
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Senior Data Scientist, Full Stack

Crypto Pro Network
  • US
    New York, New York, United States
  • US
    New York, New York, United States
Jetzt Bewerben

Über

TRM is a blockchain intelligence company that’s on a mission to build a safer world for billions of people. We’re a lean, high-impact team tackling some of the world’s most critical challenges, ranging from human trafficking and financial fraud to terrorist financing. We are builders who power governments, financial institutions, and crypto companies when the clock is running and the consequences are real. This is why every TRMer is a bet on our future and has the power to change our trajectory. 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 ( 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 build to protect civilization. That promise shows up in how we work every day. TRM runs fast. Really fast. We’re a high‑velocity team that expects ownership, clarity, and follow‑through. People who thrive here are inspired by hard problems, experimentation, direct feedback. If it takes months elsewhere, it often ships here in days. If you are optimizing primarily for consistent work‑life balance, use the interview process to pressure‑test fit. We want teammates who thrive here, not just survive here. We coach directly, assume positive intent, and play for the front of the jersey. Impact‑Oriented Trailblazer: We put customers first, driving for speed, focus, and adaptability. Master Craftsperson: We prioritize speed, high standards, and distributed ownership. Inspiring Colleague: We value humility, candor, and a one‑team mindset. Want to learn more about how we interview at TRM Labs? Check out more about our leadership principles and hiring process here . What You’ll Do Here This work has teeth. At TRM, your week might include: Driving critical investigations that can’t wait for typical business hours. Shipping products in days when others would schedule quarters. Partnering with teams across time zones to deliver insights while the story is still unfolding. Building new solutions from first principles when the playbook doesn’t yet exist. Protecting victims and customers by tracing illicit activity and disrupting criminal networks. Join our Mission We look for people who want their work to matter, who build with speed and rigor, and who take pride in protecting others through their craft. If you’re excited by TRM’s mission but don’t check every box, apply anyway. We hire for slope, judgment, and the will to learn fast. Build to protect civilization. Let’s do it together. 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. Privacy Policy By submitting your application, you are agreeing to allow TRM to process your personal information in accordance with theTRM Privacy Policy
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  • New York, New York, United States

Sprachkenntnisse

  • English
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