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Senior Data Scientist, Ads Planning Metrics

Google is a global technology company that provides a wide range of internet-related services and products.
Data
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Advertising

Job Description

Google is seeking a Senior Data Scientist to join their Ads Planning Metrics team. This role combines advanced statistical analysis with business impact in Google's advertising ecosystem. The position requires expertise in experimental design, statistical modeling, and programming, with a focus on measuring and improving advertising initiatives. You'll work with cross-functional teams to develop metrics and methodologies that drive business decisions.

As a data scientist at Google Ads, you'll be part of a team that powers the open internet through advertising technology, connecting people, publishers, and advertisers. The role involves analyzing complex datasets, designing experiments, and developing sophisticated measurement frameworks to evaluate the impact of various advertising initiatives.

The ideal candidate brings strong quantitative skills, experience with statistical analysis and programming languages like Python and SQL, and the ability to translate complex analyses into actionable insights. You'll work on projects that directly impact Google's advertising products across search, display, shopping, travel, and video advertising.

This position offers the opportunity to work with Google's vast user base of more than a billion people, making data-driven decisions that shape the future of digital advertising. You'll collaborate with Engineering and Product Management teams, combining technical expertise with business acumen to drive strategic initiatives.

Working at Google means joining a company committed to innovation and equal opportunity, with a culture that values diverse perspectives and fosters belonging. The role is based in Warsaw, Poland, offering the chance to work with global teams while contributing to one of the world's leading technology companies.

Last updated 3 days ago

Responsibilities For Senior Data Scientist, Ads Planning Metrics

  • Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of Ads Planning initiatives
  • Define key performance indicators and their associated value for advertisers and Google across various Ads Planning initiatives
  • Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, reach, Google business growth, and agreement value
  • Develop methodologies for conducting impact studies for agencies and third-party tools
  • Collaborate with cross-functional teams to ensure the accuracy and feasibility of measurement strategies

Requirements For Senior Data Scientist, Ads Planning Metrics

Python
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience
  • 8 years of experience in using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree
  • Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.)
  • Experience with A/B testing or other experimental design methodologies

Benefits For Senior Data Scientist, Ads Planning Metrics

Parental Leave
  • Equal Employment Opportunity
  • Parental Leave

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