TRM Labs15.02.26
AI SCORE 8.5

Senior Data Scientist - Model Engineering for Web3

$170K–$195K/year

About the Role

We're hiring a Senior Data Scientist - Model Engineering to join our team at TRM Labs. As a Senior Data Scientist, you will play a crucial role in developing and deploying sophisticated machine learning and LLM models that power our AI Engineering platform. This position is remote, allowing you to work from anywhere while contributing to our mission of building a safer world through blockchain intelligence.

What You'll Do

  • Design and deploy ML/LLM models that meet impactful customer needs within TRM’s AI Engineering platform.
  • Develop robust catalogs of evaluation sets and observability tools for ML/LLM models to ensure reliable performance in production environments.
  • Monitor for data drift, concept drift, and emerging failure modes in production AI systems serving critical law enforcement use cases.
  • Leverage embeddings, retrieval, and ranking methods to enhance the product experience for analysts.
  • Build models and analyses that optimize orchestration of multi-agent workflows, enabling complex investigative tasks through natural language interactions.
  • Stay up-to-date on state-of-the-art model and system design, implementing modern architecture patterns to serve external users.
  • Translate vague infrastructure and product requirements into measurable, data-driven metrics and evaluation frameworks.
  • Collaborate with engineers and research scientists to design agentic systems that analyze complex blockchain data structures, cryptographic protocols, and transactional patterns.

Requirements

  • 4+ years of experience in a data science role, with expertise in machine learning and data science.
  • Strong fluency with Python and SQL, with experience in collaborative coding environments (git, notebooks, testing).
  • Background in data science, experimental design, and hypothesis testing.
  • Experience evaluating and building LLMs, embeddings, knowledge graphs, and information retrieval systems.
  • Industry experience with ML/AI methods (NLP, RLHF, embeddings) to analyze and improve agent behaviors.
  • Ability to analyze large, multi-modal datasets (text, logs, graphs, APIs) for actionable insights.
  • Strong ownership mentality and comfort with uncertainty, translating ambiguous intelligence questions into measurable evaluation frameworks.
  • Curiosity and drive to solve problems creatively in ambiguous spaces.

Nice to Have

  • Experience building and delivering Agentic/LLM systems with active users.
  • Hobby or open source contributions in relevant technologies.

What We Offer

  • Competitive salary range of $170,000 - $195,000 per year.
  • Eligibility to participate in TRM’s equity plan.
  • A fast-paced, high-velocity work environment that values ownership and clarity.
  • Opportunities for direct feedback and experimentation.
  • A collaborative team culture that extends beyond work.
  • Remote work flexibility with required overlap in PST hours.
  • Engagement in meaningful work that protects civilization.
  • Access to continuous learning and professional development opportunities.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Senior Data Scientist role at TRM Labs offers a unique opportunity to work on impactful AI solutions in the blockchain space, with a competitive salary and remote flexibility.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and SQL with hands-on experience in developing and deploying machine learning models, particularly in the context of LLMs and NLP, to create robust data-driven solutions for Web3 applications.

Self-motivated and disciplined remote worker, capable of managing time effectively and collaborating asynchronously with cross-functional teams in a fully remote environment to achieve project goals.

Analytical mindset with a strong background in data analysis and statistical modeling, enabling the candidate to interpret complex data sets and derive actionable insights that enhance blockchain intelligence.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist - Model Engineering for Web3(Now)Lead Data Scientist / Machine Learning Engineer(1-2 years)Director of Data Science / AI Technology Lead(3-5 years)

Market Overview

Python Market Size 2024
$15B
Annual Growth
10.5%
AI Adoption
75%
Investment in Data Science
+45%
Labour Demand for Data Scientists
+30%
Avg Salary for Senior Data Scientists
$140K

Skills & Requirements

Required
PythonSQLMachine Learning
Growing in Demand
Deep LearningData Visualization (e.g., Tableau, Power BI)Big Data Technologies (e.g., Apache Spark)
Declining
R ProgrammingExcel VBA

Domain Trends

Rise of LLMs in Data Science
Large Language Models (LLMs) are increasingly being integrated into data science workflows, with 60% of organizations adopting LLMs for data analysis tasks by 2025.
Web3 and Decentralized Data Solutions
The demand for data scientists in Web3 is growing, with a projected 40% increase in job postings related to decentralized data solutions as companies seek to leverage blockchain technology.
Increased Focus on Ethical AI
73% of data science teams are prioritizing ethical AI practices, leading to a surge in demand for skills related to fairness and transparency in machine learning models.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.