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Staff Research Data Scientist, Search Ads Metrics

Google
Mountain View, USA
Senior · 10+ years experience
USD 207000-300000 / year
Discovered 2 weeks ago
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Responsibilities

  • Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects.
  • Optimize the Search Ads serving system by delivering valuable business insights from mathematical models.
  • Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills.
  • Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions.
  • Navigate multiple stakeholders and organizational complexity to drive data-driven product development.
  • - Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects. - Optimize the Search Ads serving system by delivering valuable business insights from mathematical models. - Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills. - Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions. - Navigate multiple stakeholders and organizational complexity to drive data-driven product development.

Minimum qualifications:

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

8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.

Preferred qualifications:

10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Qualifications

  • Minimum qualifications: - Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. - 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree. Preferred qualifications: - 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

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