Research Data Scientist, Core Metrics

Work on Google Ads Core Metrics by turning business questions into data-driven analysis, models, and evaluation metrics.

Responsibilities

• Partner with stakeholders across projects and teams to define and refine business or product questions.
• Translate business questions into tractable analysis, evaluation metrics, or mathematical models; provide feedback to improve problem framing.
• Use custom data infrastructure or existing data models as needed, applying specialized knowledge to express and solve defined problems with limited precedent.
• Collect context on information, business goals, priorities, organizational needs, and current plus upcoming data infrastructure for each question.
• Own the end-to-end process for gathering, extracting, and compiling data across sources using tools such as SQL, R, and Python.
• Independently format, re-structure, and/or validate datasets to ensure data quality.
• Review and verify datasets to ensure they are 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, including coding (Python, R, SQL), querying databases, statistical analysis, or a PhD degree.

Preferred Qualifications

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

Technologies

• Python
• R
• SQL

Benefits

• 15% bonus target
• Equity
• Benefits
• Learn more about benefits at Google.

About the Job

• Ads Metrics is the Data Science team for Search ads, supporting the SAGE (Search Ads and Google Experience) organization.
• Focus on developing important ad products, including classic text ads, rich shopping ads, and Discovery ads.
• Role supports search ads metrics by using data, models, and metrics to address business and product questions.

Location: Mountain View, CA (onsite)

Salary: USD 147,000 - 210,000 per year

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