Note: By applying to this position you will have an opportunity to share your preferred working location from the following:
Mountain View, CA, USA; New York, NY, USA.
Minimum qualifications:
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience.
- 3 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.
Preferred qualifications:
- Master's degree or PhD in Statistics or a related 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.
- Experience with Deep Learning.
- Experience in working on applied data problems in Ads (e.g., bidding, ranking, etc.).
About The Job
In this role, you will develop, evaluate, and improve Google's advertising products including Search, Display, Apps, TV, and Video (e.g., YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts, and product managers to develop new science and translate it into deployed products. You will also play a role in developing new ideas and methods that drive Ad measurement and generate business. You will be a part of building and driving impact on ad-systems both at Google and in the Advertising Technology and Marketing Technology industry. You will take on modern advertising’s tests and make an impact on the global ads ecosystem. You will be trained in quantitative methodologies with knowledge of statistics and causal inference methods, and you will leverage data and technology to make business decisions.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google .
Responsibilities
- Shape and support privacy-preserving, data-motivated advertising products by collaborating with engineering, product, and customer-facing teams.
- Define key advertising questions (e.g., incrementality, privacy impact, user behavior) with multiple teams then develop and implement quantitative solutions.
- Design experiments and establish causality using causal inference to assess attribution and answer data-motivated questions.
- Analyze datasets to solve testing problems and conduct analysis from data gathering and exploration to model development and present results to stakeholders.
- Build analysis pipelines for insights, develop an understanding of Google's data structures, advocating for necessary improvements.
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
