Senior Data Scientist, Product, Ads Account Management

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, a related quantitative field, or equivalent practical experience.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with a Master's degree.
  
  

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Experience working with large and multiple datasets/data warehouses and ability to pull from such data sets using relevant tools and coding.
• Experience in experimental design (e.g. A/B, multivariate, Bayesian methods) and incrementality analysis.
• Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
• Strong knowledge of advanced F1 query optimization techniques.
  
  

About The Job

Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.

Responsibilities

• Work closely with UX, Marketing, Support, and the Account Management teams to develop a deep understanding of the needs of our advertisers, developers and other partners.
• Perform deeply technical analyses with unstructured data (e.g. logs) to assess success of billing initiatives in driving better user billing workflows.
• Design and evaluate experiments to help the team understand how product changes affect advertiser experience. Where experimentation is not possible, help identify methodologies for the team to identify directional impact.
• Investigate fundamental business and product strategy questions; deliver deep insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser policy and billing experiences.
• Drive strategic analysis and reporting for 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 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 .