The Business Data Scientist for YouTube Marketing at Google will work closely with marketing and product teams to analyze data and drive effective marketing strategies. This role focuses on understanding the impact of marketing campaigns during significant cultural moments and optimizing user engagement through data-driven insights. The team aims to enhance YouTube's brand strategy using analytics to inform decision-making. The position requires collaboration with senior executives to communicate findings and recommendations effectively.

• Bachelor's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Experience conducting regression analysis.
• 2 years of experience using analytics to solve product or business problems.
• Proficiency in coding languages such as Python, R, or SQL.
• Experience conducting causal inference analysis.

• Design and execute studies to measure the causal impact of marketing on key brand metrics.
• Use machine learning to identify features of marketing campaigns that drive brand perception and behavior.
• Design experiments to measure the efficacy of cultural moments in marketing initiatives.
• Assess the impact of paid and organic social marketing on viewer growth.
• Collaborate with Product and Marketing teams to design experiments based on insights.

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