The Research Data Scientist for Brand Bidding Optimization at YouTube Ads will focus on enhancing advertising strategies for brand advertisers on the YouTube platform. This role involves collaborating with a team of software engineers, data scientists, and product managers to address complex technical and business challenges. The position requires expertise in analytics and operations research to develop optimization solutions that improve targeting relevance and bidding strategies. The ideal candidate will have a strong background in digital advertising and a passion for data-driven decision-making.

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 3 years of work experience using analytics to solve product or business problems, coding in languages such as Python, R, or SQL.
• Experience in operations research, game theory, or machine learning.
• Experience in digital advertising or brand advertising.

• Collaborate with stakeholders to identify and clarify business or product questions.
• Translate business questions into tractable analysis, evaluation metrics, or mathematical models.
• Gather and compile data across sources using relevant tools such as SQL, R, or Python.
• Design and evaluate models to mathematically express and solve defined problems.
• Build optimization solutions for targeting relevance, creative recommendations, and bidding optimization.

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