[Hiring] Senior AI Data Scientist @Chaos Labs

Role Description

Reporting directly to the Chief Science Officer, we are looking for a talented Senior AI Data Scientist to join our team and help shape the future of AI.

• Design and build machine learning systems that power enterprise search, retrieval, recommendations, and AI agents.
• Develop evaluation frameworks and metrics to measure the quality, performance, and business impact of LLM-powered applications.
• Build scalable data and ML pipelines that process and analyze large-scale AI interaction data.
• Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decision-making.
• Collaborate closely with Product, Engineering, and Design to translate research and insights into production features.
• Analyze product usage and customer behavior to identify opportunities for improving AI adoption, productivity, and user experience.
• Prototype, evaluate, and deploy new AI capabilities using foundation models, embeddings, and retrieval-augmented generation (RAG) techniques.
• Define key performance indicators and build analytical frameworks that inform product strategy and company-wide decisions.
• Contribute to the technical direction of our AI platform by identifying new opportunities to leverage machine learning and generative AI.
• Mentor junior team members and help establish best practices in data science, experimentation, and machine learning across the organization.

Qualifications

• 5+ years of experience in Data Science, Applied Machine Learning, or a quantitative research role (or 3+ years with a PhD).
• Degree in Computer Science, Statistics, Mathematics, Machine Learning, Economics, Physics, or another highly quantitative field.
• 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 developing and deploying machine learning models in production.
• Experience working with large-scale datasets and modern data infrastructure.
• Familiarity with LLMs, embeddings, retrieval systems, RAG, or AI agents.
• Strong analytical thinking with the ability to translate ambiguous problems into measurable solutions.
• Excellent communication skills and the ability to work cross-functionally with engineering, product, and leadership.
• Comfortable operating in a fast-paced, high-ownership startup environment.

Preferred Qualifications

• Based in NYC with the ability to work from our Brooklyn office, or the ability to work remotely, with travel up to 30% of the year to collaborate in person with the team.
• 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.

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
• Salary and Seniority level commensurate with experience (range: $179K - 217K)