Senior AI Data Scientist

Job not on LinkedIn

🕒 August 21

🗽 New York – Remote

🗽 New York – Remote

💵 $179k - $217k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Chaos Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🔒 Cybersecurity

₿ Crypto

Cybersecurity • Crypto

Chaos Labs is a cloud platform for securing blockchains and protocols through robust agent and scenario-based simulations. It addresses the technical challenges and security vulnerabilities inherent in decentralized blockchain applications, especially in the burgeoning decentralized finance (DeFi) space. By enabling teams to conduct high-fidelity simulations on mainnet forks, Chaos Labs provides a real-world testing environment that enhances development speed while ensuring the security of protocols. Focused on developer tooling and cloud infrastructure, it accelerates the go-to-market time for blockchain protocols, with current support primarily for the Ethereum network and plans for expansion to others like Terra, NEAR, and Polygon.

📋 Description

• Own the development and evaluation of machine learning systems that power the enterprise AI platform. • Work closely with the Chief Science Officer and Engineering to build and deploy production ML and LLM-powered capabilities. • Use rigorous experimentation, evaluation, and product analytics to continuously improve quality, user impact, and business outcomes. • Design and build machine learning systems for enterprise search, retrieval, recommendations, and AI agents. • Develop evaluation frameworks and metrics for LLM-powered applications. • Build scalable data and ML pipelines processing and analyzing large-scale AI interaction data. • Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making. • Collaborate with Product, Engineering, and Design to translate research and insights into production features. • Analyze product usage and customer behavior to improve AI adoption, productivity, and user experience. • Prototype, evaluate, and deploy AI capabilities using foundation models, embeddings, and RAG techniques. • Define KPIs and build analytical frameworks informing product strategy and company-wide decisions. • Contribute to the technical direction of the AI platform by identifying opportunities for machine learning and generative AI. • Identify opportunities, form strong points of view, and turn them into action.

🎯 Requirements

• 5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role. • A degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field. • A track record of developing and deploying machine learning models in production and turning ambiguous problems into measurable solutions. • Strong proficiency in Python and SQL, with experience building scalable data and ML pipelines. • Deep understanding of statistics, experimentation, causal inference, and predictive modeling. • Experience working with large-scale datasets and modern data infrastructure. • Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents. • Strong analytical and technical judgment, with the ability to translate ambiguous product and business questions into rigorous analytical or machine learning approaches. • Excellent communication skills and the ability to work cross-functionally with Engineering, Product, Design, and Leadership. • Comfort operating in ambiguity and taking ownership without waiting for direction. • Exceptional standards for your own work and the ability to move quickly without sacrificing quality. • Experience building or evaluating LLM-powered products or AI applications. • Background in search, recommendation systems, information retrieval, or knowledge graphs. • Experience designing A/B tests, offline evaluations, and ML benchmarking frameworks. • Familiarity with vector databases, embedding models, and agent orchestration frameworks. • Contributions to open-source ML projects or publications in machine learning, NLP, or related fields. • Experience in B2B SaaS, developer tools, or enterprise AI products. • Based in NYC and able to work from our Brooklyn office, or remote within the U.S. with the ability to travel up to 30% of the year for in-person team collaboration.

🏖️ Benefits

• Paid Time Off – 21 vacation days + 7 sick days + 8 observed U.S. company holidays • Health Coverage – 100% employer-paid options (medical, dental & vision) for you and your dependents • FSA / HSA Options – depending on selected health insurance plan • Wellness Programs – OneMedical, Teladoc, Talkspace, and EAP • 401(k) - with a 100% company match on the first 6% contributed • Career Growth – opportunities in a rapidly expanding, global technology company with personalized professional development • Pre-tax Commuter Benefits • Compensation & Equity – competitive package aligned with growth and merit