Staff Behavioral Data Scientist, YouTube Marketing

Position Overview

This role may also be located in our Playa Vista, CA campus. Applicants in the County of Los Angeles will be considered in accordance with applicable fair chance ordinances. By applying, you can indicate your preferred working location from Chicago, IL; New York, NY; San Bruno, CA; or Los Angeles, CA.

At Google, our leadership team hand-picks challenging business problems with the help of small, dynamic teams. You will immerse yourself in data collection and analysis, develop actionable recommendations, and communicate insights to senior executives. YouTube Marketing Data Science, Infrastructure and Analytics (DSIA) influences YouTube’s Marketing and Products teams by providing measurement frameworks, robust analytics, and data-driven insights that unlock new strategic growth opportunities.

Compensation: The US base salary range for this full-time position is $197,000-$291,000 plus bonus, equity, and comprehensive benefits.

Key Responsibilities

• Define and own the strategic roadmap for all brand and behavioral measurement initiatives, ensuring alignment with overarching marketing goals. Act as the primary technical leader and thought partner for marketing leadership.
• Lead the development and implementation of advanced panel and survey-based measurement methodologies to assess brand health, consumer sentiment, and marketing effectiveness.
• Design and execute robust causal inference studies using observational methods (e.g., quasi-experimental designs, synthetic control) to understand the impact of brand marketing activities.
• Provide technical oversight, guidance, and mentorship to data scientists and business analysts to ensure methodological rigor and high-quality deliverables.
• Drive analytical efforts to establish and quantify the connection between brand perception/metrics and measurable behavioral outcomes such as engagement and conversion.

Required Qualifications

• Master's degree in a quantitative discipline such as Statistics, Engineering, or Sciences, or equivalent practical experience.
• 7 years of experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, and statistical analysis.
• Experience with panel measurement and survey design.

Preferred Qualifications

• Master’s degree or PhD in the social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication) or in a quantitative field (e.g., Statistics, Informatics, Econometrics).
• 9 years of experience using analytics to solve product or business problems, including coding (e.g., Python, R, SQL), querying databases, and statistical analysis.

Benefits & Perks

• Compensation: Competitive base salary with additional bonus and equity components.
• Benefits: Comprehensive benefits package designed to support health, well-being, and work–life balance.