The Research Data Scientist role in the Brand Ads Quality team at YouTube Ads focuses on leveraging quantitative skills to develop optimization solutions for advertisers. The position involves collaboration with software engineers and project managers to enhance marketing strategies on YouTube. The candidate will utilize expertise in operations research, statistics, and machine learning to drive impactful analyses and project ownership from design to implementation. This role is ideal for someone with a strong analytical background and experience in adtech.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of experience using analytics to solve product or business problems, including coding in Python, R, or SQL.
• 3 years of work experience with online marketplace design, adtech, and causal inference.

• Collaborate with stakeholders to identify and clarify business or product questions.
• Use data infrastructure to design and evaluate models that solve defined problems.
• Gather and compile data across sources using relevant tools like SQL, R, or Python.
• Ensure data quality by formatting, restructuring, or validating datasets for analysis.

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