Lead Data Scientist (P3764)

Required

• Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 6+ years applied ML with explicit search and/or recommendation systems experience.
• Demonstrated experience designing and building systems at scale — including representation learning, candidate retrieval and ranking with multi-stage pipelines
• Proficient in Python and SQL, with experience processing large-scale data in distributed environments (e.g., Spark).
• Track record of shipping ML systems that moved business or customer metrics at scale – not just exposure to frameworks or techniques.
• Strong foundation in statistics, experimentation, and data analysis, including design of experiments and A/B testing.
• Hands-on experience building or rigorously evaluating LLM- and agent-based systems (e.g., RAG, agentic workflows, LLM-based evaluation), with clear judgment on where these techniques apply and where they don't.
• Experience partnering with engineering teams to deploy and maintain machine learning systems in production.
• Understanding of real-time systems, model serving, feature pipelines, and monitoring.
• Ability to make practical tradeoffs between model complexity, performance, latency, and scalability.
• Demonstrated ability to lead technical work across projects and influence direction across data science, engineering, and product teams.
• Experience mentoring or guiding other data scientists and contributing to a strong technical culture.