Senior AI Data Scientist

Skills

About the Role

You design and build machine learning systems for search, retrieval, recommendations, and AI agents. You develop evaluation frameworks, data and ML pipelines, statistical models, and AI capabilities while analyzing product behavior, defining KPIs, guiding strategy, collaborating cross-functionally, and mentoring junior data scientists.

Requirements

• 5+ years of experience in Data Science, Applied Machine Learning, or quantitative research, 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
• Experience building scalable data and machine learning 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
• Excellent communication and cross-functional collaboration skills

Responsibilities

• 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 for large-scale AI interaction data
• Apply statistical modeling, experimentation, and causal inference to guide product development and strategic decisions
• Collaborate with Product, Engineering, and Design to translate research 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
• Define key performance indicators and analytical frameworks
• Identify opportunities to leverage machine learning and generative AI
• Mentor junior team members and establish data science and machine learning best practices

Benefits

• 21 vacation days, 7 sick days, and 8 observed U.S. company holidays
• 100% employer-paid medical, dental, and vision coverage for employees and dependents
• FSA/HSA options
• Wellness programs including OneMedical, Teladoc, Talkspace, and EAP
• 401(k) with a 100% company match on the first 6% contributed
• Pre-tax commuter benefits
• Equity compensation