Data Scientist for Digital Advertising Innovation

4 days ago


Mountain View, California, United States Google Full time

At Google, we pioneer modern digital advertising and enable a thriving internet advertising ecosystem. As a Senior Data Scientist in Ads Insight and Measurement, you will play a key role in shaping new data-driven and privacy-preserving advertising products.

About the Role

This full-time position is based in the US with a salary range of $150,000-$223,000 + bonus + equity + benefits. Your individual pay will be determined by your location, job-related skills, experience, and relevant education or training.

You will collaborate with stakeholders to identify business questions, provide feedback on analysis requirements, and design mathematical models to solve complex problems. With access to custom data infrastructure and existing data models, you will gather, extract, and compile data to ensure quality and review datasets for analysis.

As a Senior Data Scientist, you will use causal inference methods to design experiments and establish causality, assess attribution, and answer strategic questions using data. You will work closely with engineering, product, and customer-facing teams to shape new products and drive innovation in digital advertising.

Key Responsibilities
  • Collaborate with stakeholders to clarify business questions and provide feedback on analysis requirements.
  • Design mathematical models to solve complex problems and evaluate their effectiveness.
  • Gather, extract, and compile data from various sources to ensure quality and review datasets for analysis.
  • Use causal inference methods to design experiments and establish causality, assess attribution, and answer strategic questions using data.
  • Work closely with cross-functional teams to develop new products and drive innovation in digital advertising.
Requirements
  • A Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
  • 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 Us

Google is an equal opportunity workplace and is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.



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