Google is looking to grow the YouTube Ads business by optimizing YouTube's marketplace through the development and application of advanced statistical and machine learning models to user ad engagement behavior, advertiser objectives, and bidding/pricing strategies.
Requirements
- coding (e.g., Python, R, SQL)
- querying databases or statistical analysis
- Experience with Machine Learning, Game Theory.
Responsibilities
- Serve as a Technical Lead (TL) for a hybrid team of Data Scientists and Software Engineers to grow the YouTube Ads business by optimizing YouTube's marketplace.
- Work with a team of ML engineers, Software engineers, Data Scientists and Product Managers, to study user ad engagement behavior that aligns with advertiser objectives and will model the impact of ads on users short term and long term behavior.
- Leverage these models to optimize bidding and pricing, so to ensure optimal combination of advertiser performance and user experience.
- 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.
- Design and evaluate models to mathematically express and solve defined problems with limited precedent.
- Formulate advanced statistical and machine learning models, distributed data processing pipelines.
Other
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
- 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.
- 3 years of experience as a people manager within a technical leadership role.
- Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are 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.
