The Senior Research Data Scientist role at Meridian AI focuses on revolutionizing Marketing Mix Modeling (MMM) by developing an autonomous AI product that simplifies the model-building process. The position requires a blend of econometric and statistical expertise with advanced AI technology to enhance media effectiveness measurement for advertisers. This role serves as a bridge between traditional data science and next-generation AI, aiming to improve modeling productivity and quality. The successful candidate will lead research and development efforts to integrate advanced methodologies into Google's marketing analytics.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 5 years of work experience using analytics to solve product or business problems, coding in Python, R, or SQL, and querying databases, or 3 years of work experience with a PhD degree.
• Experience with econometrics, machine learning, and Bayesian statistics.

• Lead the design and development of innovative measurement methodologies and products.
• Serve as the core bridge between classical data science and frontier AI by embedding rigorous Bayesian statistical frameworks into autonomous AI agents.
• Pioneer advanced quantitative methods by integrating causal inference, statistical modeling, and machine learning techniques.
• Drive the research and development of next-generation Marketing Mix Modeling methodologies.

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.