Research Data Scientist, Ads Metrics, Ads Experiences

Google; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Job summary

Google Ads Metrics is the data science team within Ads Metrics, supporting the SAGE organization to advance ads products from classic text ads to advanced formats like Discovery ads. Analyses help improve UI and page experiences across ad products.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits.

Qualifications

• Master's degree in a quantitative field.
• 3 years of analytics experience or PhD degree.

Responsibilities

• Collaborate with stakeholders to identify and clarify business questions and translate them into tractable analyses or models.
• Design and evaluate models to express and solve defined problems with data.
• Gather information on goals, priorities, and data infrastructure surrounding the questions.
• Gather, extract, and compile data across sources using SQL, R, Python and ensure data quality.

Skills

Analytics

Python

SQL

R

Education

Master's degree in quantitative field (Statistics / DS / Math / Physics / Economics / OR / Engineering)

PhD degree (optional)

Job description

Minimum qualifications:

• 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.

About the job:

Ads Metrics is the DS 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 they are rapidly growing and evolving. The Ads Experiences Data Science team is a subteam within Ads Metrics that drives analyses to help AdsUI team improve ads UI, formats, and whole page experiences.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

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.