As a part of the YouTube optimization team, you will focus on delivering the best performances to the advertisers advertising on YouTube. In this role, you will work with advertisers who each have a business goal to achieve, such as getting the most conversions within their budget, the most clicks under a cost-per-click limit, building awareness of their brand, or many other more advanced settings. You will be a part of the team responsible for the backend systems that power all these optimizations.
In this role, you will manage advertisers’ spend and translate their business goals into real-time decision making on which ads to show, and to achieve this goal, you will develop large-scale optimization systems by utilizing a variety of different tools such as mathematical and statistical modeling, auction theory, risk management, and machine learning (deep networks, Bayesian, etc.).
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google [https://www.google.com/about/careers/applications/benefits/].
and clarify business or product questions to answer, providing feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.
using specialized knowledge to design and evaluate models that mathematically express and solve defined problems with limited precedent.
around the questions to answer, as well as the existing and upcoming data infrastructure.
via relevant tools (e.g., SQL, R, Python), independently formatting, re-structuring or validating data to ensure quality, and review the dataset to ensure it is ready for analysis.
Operations Research, Engineering, or a related quantitative field.
problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
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checked 2 days agoSource: the company job board. We last checked this job 8 days ago. We first saw it 8 days ago. A job on a job board does not always mean that the team interviews people now.
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See total pay at Google on Levels.fyiBase, stock and bonus, as employees report it.
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