Research Data Scientist, Ads Insight and Measurement

Google is a global technology leader specializing in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Advertising

Description For Research Data Scientist, Ads Insight and Measurement

Google is seeking a Research Data Scientist to join their Ads Insights and Measurement team. This role combines data analysis, statistical expertise, and business acumen to enhance Google's advertising products. You'll work on everything from Search and Display to YouTube, collaborating with engineers, analysts, and product managers. The position focuses on developing new science and methods for ad measurement, particularly emphasizing privacy-preserving solutions for digital advertising's future. You'll use advanced statistical methods, including causal inference, to solve complex business problems and drive product improvements. The role offers the opportunity to impact Google's global ad systems and influence the broader ad-tech industry. Ideal candidates should have strong analytical skills, experience with statistical analysis, and the ability to translate complex data insights into actionable business strategies.

Last updated 23 days ago

Responsibilities For Research Data Scientist, Ads Insight and Measurement

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer
  • Use custom data infrastructure or existing data models as appropriate, using specialized knowledge
  • 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

Requirements For Research Data Scientist, Ads Insight and Measurement

Python
  • 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., Python, R, SQL)
  • 1 year of experience managing analytical projects
  • Experience with causal inference methods
  • Experience articulating and translating business questions

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