Minimum qualifications:
Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
8 years of experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL).
Preferred qualifications:
Experience in experimental design (e.g., A/B, multivariate, Bayesian methods) and incremental analysis.
Experience in identifying opportunities for business improvement and defining/measuring the success of those initiatives.
Experience with utilizing unstructured data to answer open-ended business questions.
Experience working with multiple datasets/data warehouses and ability to pull from data sets using tools and coding.
Knowledge of advanced query optimization techniques.
Excellent communication, technical writing, and presentation skills with the ability to communicate analysis findings.
As a Product Data Scientist, you will be part of a team that drives business outcomes for ads customers through automation and platforms, encouraging long-term investments with Google. In this role, you will manage critical business questions, building dashboards and automated reports, maintaining analytical datasets, and measuring and improving key metrics. Security efforts help reduce risk and ensure a positive experience for customers. This role will involve developing a detailed understanding of the technical designs of safety products, performing diagnostic analyses, and uncovering opportunities for improvement.
Work with User Experience Research, Support, and the Sales teams to develop an understanding of the needs of advertisers, developers, and other partners.
Perform technical analyses with unstructured data (e.g. logs) to assess success of Security initiatives in reducing bad ads while maintaining good business growth.
Design and evaluate experiments to help the team understand how product changes affect advertiser experience.
Investigate fundamental business and product strategy questions, deliver deep insights on specific topics to provoke new feature/product ideas, or new interventions to drive improved advertiser policy experiences.
Analyze and report business health metrics, focusing on retention, cost savings, and performance.
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 https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCPEEOPost.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.