• Bachelors in Statistics, Computer Science, Economics, Operations Research, or similar quantitative field (graduate degree preferred)
• Solid understanding of modern data science, AI and machine learning
• At least 3 years of experience with applying modern statistical marketing models, Bayesian statistics, and causal inference to solve complex, data-driven problems
• Programming proficiency (preferably Python, its data science stack, and SQL) and desire to write production code
• Excellent communication skills and the ability to present methodologies and findings to audiences with varying technical backgrounds
• Experience using Claude Code, Codex or similar
• Experience with agentic development
• Experience building and supporting Media Mix Modeling (MMM)
• Experience working in modern cloud infrastructure environments like AWS and GCP is a big plus - particularly, GCP.
• Experience with BigQuery
• Familiarity with the digital media / advertising industry is a big plus.
• Experience with Spark