Data Scientist, Product, Google Ads Billing

Google is a global technology company serving over a billion users worldwide with various internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Scientist, Product, Google Ads Billing

Google is seeking a Data Scientist for their Ads Billing team to drive data-driven decisions and insights. This role combines technical expertise with strategic thinking to improve advertiser experiences and billing workflows. As a Data Scientist, you'll work with large-scale datasets, design experiments, and provide quantitative support to various teams.

The position requires strong analytical skills, with experience in statistical packages and data manipulation. You'll be responsible for analyzing unstructured data, designing experiments, and delivering insights that shape product strategy. The role involves collaboration with Engineering and Product Management teams to drive better decision-making through data.

The ideal candidate should have a strong quantitative background with a Master's degree in a relevant field and experience with statistical analysis tools. You'll need to be comfortable working with various data sources, performing complex analyses, and communicating findings effectively to stakeholders.

Working at Google offers the opportunity to impact billions of users while collaborating with talented teams. The company provides a diverse and inclusive environment, focusing on building products that serve a global user base. This role is perfect for someone who combines technical expertise with business acumen and wants to work on challenging problems at scale.

The position offers the chance to work on meaningful projects that directly impact Google's advertising platform, one of the company's core revenue streams. You'll have access to sophisticated tools and datasets, allowing you to derive insights that drive product improvements and business growth. The role provides excellent opportunities for professional growth while working with cutting-edge technology and data science methodologies.

Last updated 21 hours ago

Responsibilities For Data Scientist, Product, Google Ads Billing

  • Perform 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
  • Investigate fundamental business and product strategy questions
  • Drive strategic analysis and reporting for business health metrics, focusing on retention, cost savings and performance

Requirements For Data Scientist, Product, 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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