The Research Data Scientist role at YouTube focuses on enhancing search and viewer experiences through data analysis and machine learning. This position is part of a dynamic team working at the forefront of AI technology, particularly in the realm of recommender systems and large language models. The role involves analyzing experiments, improving foundational search systems, and developing key signals for YouTube's AI products. Candidates should be adaptable and comfortable in a fast-paced environment.

• 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 Python, R, or SQL, or a PhD degree.
• Experience with machine learning and experiment design principles.
• Experience with recommender systems.

• Collaborate with stakeholders to identify and clarify business or product questions.
• Translate and refine business questions into analysis, evaluation metrics, or mathematical models.
• Design and evaluate models to mathematically express and solve defined problems.
• Gather, extract, and compile data across sources using relevant tools like SQL and Python.
• Ensure data quality and readiness for analysis.

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