Staff Data Scientist, Ads Metrics

Google is a global technology company that powers the open internet with advertising technology connecting people, publishers, and advertisers.
$197,000 - $291,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS

Description For Staff Data Scientist, Ads Metrics

Google Ads is seeking a Staff Data Scientist to join their Ads Metrics team, focusing on powering the open internet through advanced advertising technology. This role offers a competitive base salary range of $197,000-$291,000 plus additional benefits and equity. The position requires a strong quantitative background with 8+ years of analytics experience, expertise in AI/ML technologies, and proven experience with consumer-facing tech products. You'll lead critical initiatives in ads metrics, including GenAI exploration, while collaborating with cross-functional teams to solve complex business problems. The role combines technical expertise in Python and SQL with strategic thinking to design and evaluate mathematical models. As a Staff Data Scientist, you'll be instrumental in shaping Google's advertising products across search, display, shopping, travel, and video advertising. The position offers the opportunity to work with cutting-edge technology while making a significant impact on Google's advertising ecosystem. You'll be part of a team that creates trusted experiences between people and businesses, helping grow companies of all sizes through effective advertiser tools that deliver measurable results. The role provides a unique blend of technical challenge and business impact, with the backing of Google's extensive resources and benefits package.

Last updated 11 days ago

Responsibilities For Staff Data Scientist, Ads Metrics

  • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions
  • Use custom data infrastructure or existing data models, design and evaluate mathematical models
  • Gather information, business goals, priorities, and organizational context
  • Own the process of gathering, extracting, and compiling data across sources via relevant tools
  • Lead Ads Metrics' GenAI exploration

Requirements For Staff Data Scientist, Ads Metrics

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
  • 8 years of work experience using analytics to solve product or business problems, coding, querying databases or statistical analysis, or 6 years with PhD
  • 5 years of experience with analytics and AI/ML technologies
  • 3 years of experience with AI/ML technologies
  • Experience working with consumer-facing tech products

Benefits For Staff Data Scientist, Ads Metrics

Medical Insurance
Equity
  • Base salary + bonus + equity + benefits

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