Senior Research Data Scientist - Ads Optimization

Google

Mountain View (CA)

On-site

USD 174,000 - 252,000

Full time

14 days+

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Benefits offered by this job

Equity
Benefits

Job summary

Google is seeking a Senior Research Data Scientist for Google Display Ads in Mountain View, CA. This role advances backend systems that score, rank, and select ad candidates to improve bidding and prediction at scale.

Responsibilities include building models, leveraging SQL, Python, and R to solve business questions, and collaborating with stakeholders to translate needs into measurable analyses. Equity and benefits accompany a strong compensation package.

Qualifications

  • Master's degree in a quantitative field.
  • 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 3 years of work experience with a PhD degree.

Responsibilities

  • Collaborate with stakeholders to identify and clarify business or product questions and translate them into analyses, metrics, or models.
  • Design and evaluate models using custom data infrastructure or existing data models to solve defined problems.
  • Gather information on goals, priorities, and data infrastructure to guide analysis.
  • Own data gathering, extraction, and preparation across sources using SQL, R, Python; ensure data quality and readiness for analysis.

Skills

Python
R
SQL

Education

Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or related quantitative field

Job description

Google is seeking a Senior Research Data Scientist for Google Display Ads in Mountain View, CA. This role advances backend systems that score, rank, and select ad candidates to improve bidding and prediction at scale.

Responsibilities include building models, leveraging SQL, Python, and R to solve business questions, and collaborating with stakeholders to translate needs into measurable analyses. Equity and benefits accompany a strong compensation package.

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