Senior Data Scientist, Ads Metrics

Google is a global technology company that builds advertising products including search, display, shopping, travel and video advertising, as well as analytics.
Data
Senior Software Engineer
Contact Company
5+ years of experience
AI · Enterprise SaaS · Advertising

Description For Senior Data Scientist, Ads Metrics

Google is seeking a Senior Data Scientist to join their Ads Metrics team in Zürich. This role is crucial in innovating and enhancing experiment design, causal inference, and time-series analysis for business-critical launches. The position sits within Google Ads, which powers the open internet by connecting people, publishers, and advertisers through advanced advertising technology.

The ideal candidate will have a strong quantitative background with at least 5 years of experience in analytics and data science, or 3 years with a PhD. They should be proficient in Python, SQL, and statistical analysis, with expertise in regression analysis, experimental design, and forecasting. The role requires collaboration with software engineers, product managers, researchers, and analysts to solve complex business problems.

Key responsibilities include stakeholder collaboration, model design and evaluation, data infrastructure management, and ensuring data quality. The position offers the opportunity to work on business-critical projects that impact Google's advertising products across search, display, shopping, travel, and video platforms.

Google provides an inclusive work environment and is committed to equal opportunity employment. The company offers a chance to work with cutting-edge technology and contribute to products that help businesses of all sizes grow and succeed. This role is perfect for someone who combines strong technical skills with excellent communication abilities and wants to make a significant impact in the advertising technology space.

Last updated 17 days ago

Responsibilities For Senior Data Scientist, Ads Metrics

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Provide feedback to translate and refine business questions into analysis, evaluation metrics, or mathematical models
  • Use custom data infrastructure or existing data models as appropriate, using knowledge
  • Design and evaluate models to mathematically express and solve defined problems
  • Gather information, business goals, priorities, and organizational context around the questions to answer
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools
  • Independently format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis

Requirements For Senior Data Scientist, Ads Metrics

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience
  • 5 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree
  • Experience with statistical data analysis and experimental design
  • Experience with regression analysis for prediction and forecasting

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