Minimum qualifications:

• Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
  
• 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL).
  
• 3 years of experience managing analytical projects.
  

Preferred qualifications:

• 5 years of experience in scripting, statistical analysis (e.g., R, Stata, SPSS, SAS), developing and managing metrics, and evaluating programs/products.
  
• Experience in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis.
• Experience working with large and multiple datasets/data warehouses and ability to pull from such data sets using relevant tools and coding.
  
• Knowledge of advanced F1 query optimization techniques.
  
• Excellent business acumen and experience with utilizing unstructured data to answer open-ended business questions.
  
• Excellent technical writing skills and ability to communicate complex analysis.
  

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.

In this role, you will be quantitative, experienced in data decision making and capable of prioritizing requests from stakeholders. You will be involved in developing a detailed understanding of the technical designs of our safety products, performing diagnostic analyses, and uncovering opportunities for improvement.

Responsibilities

• Work with UX, Marketing, Support, and the Account Management teams to develop an understanding of the needs of our advertisers, developers and other partners.
  
• Perform technical analyses with unstructured data (e.g., logs) to assess success of billing initiatives in delivering 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 insights on specific topics and areas to provoke new feature/product ideas, or new interventions to drive improved advertiser policy and billing experiences.
  
• Deliver strategic analysis and reporting for business health metrics, focusing on retention, cost savings and performance.