Research Data Scientist, Ads Metrics, Ads Experiences

Google

Mountain View, California, US

About the job

Ads Metrics is the Data Science team for Search ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google—from classic text ads, to rich shopping ads, to exciting new products like Discovery ads. These products—the heart of Google’s business—are complex, advanced, and rapidly growing and evolving. The Ads Experiences Data Science team is a subteam within Ads Metrics that drives analyses to help the AdsUI team improve ads UI, formats, and whole page experiences.

Responsibilities

• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Requirements

• 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 (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Preferred Qualifications

• 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.

Pay

US: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits

Benefits

Learn more about benefits at Google.