Data Scientist, Google Ads Billing

Google is a global technology company that provides a wide range of internet-related services and products, including search, advertising, cloud computing, and software.
Data
Mid-Level Software Engineer
Contact Company
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Scientist, Google Ads Billing

Google is seeking a Data Scientist for their Ads Billing team to help serve their worldwide user base of more than a billion people. As a Data Scientist, you'll provide quantitative support, market understanding, and strategic perspective throughout the organization. The role involves analyzing unstructured data, designing experiments, and delivering insights to drive better user billing workflows and advertiser experiences. You'll work with statistical packages, handle multiple datasets, and communicate findings to team leaders. The position requires strong analytical skills, experience with experimental design, and the ability to translate data into meaningful insights. You'll be part of Google's commitment to building a diverse and inclusive workforce while working on projects that directly impact advertiser satisfaction and business health metrics.

Last updated a month ago

Responsibilities For Data Scientist, Google Ads Billing

  • 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. 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

Requirements For Data Scientist, Google Ads Billing

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 3 years of experience working with statistical packages (e.g., R, SAS, Stata, MATLAB, etc.)
  • Experience in articulating product questions, pulling data from datasets (e.g., SQL), and using statistics

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