The Research Data Scientist for Core Metrics at Google will work within the Ads Metrics team, focusing on Search ads. This role involves solving complex business problems and developing advanced analytical models to support ad products that generate significant revenue for Google. The candidate will collaborate with stakeholders to refine business questions and ensure data quality for analysis. This position requires a strong background in data science and analytics, as well as the ability to mentor junior team members.

• 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, and querying databases.
• A PhD degree may substitute for work experience.

• Collaborate with stakeholders to identify and clarify business or product questions.
• Provide feedback to translate business questions into analysis, evaluation metrics, or mathematical models.
• Design and evaluate models to mathematically express and solve defined problems.
• Gather and compile data across sources using relevant tools such as SQL, R, and Python.
• Ensure data quality by formatting, restructuring, and 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.