Senior Data Scientist, Research, Ads Metrics

Google is a global technology company that develops internet-related services and products, including online advertising technologies and search.
$150,000 - $223,000
Data
Senior Software Engineer
In-Person
5000+ Employees
5+ years of experience
AI · Enterprise SaaS · Advertising

Description For Senior Data Scientist, Research, Ads Metrics

Google's Search Ads and Google Experience (SAGE) organization is seeking a Senior Data Scientist to join their Ads Metrics team. This role is crucial in developing and improving Google's advertising products, from classic text ads to rich shopping ads and Discovery ads. As a Data Scientist, you'll be working at the intersection of data analytics and business strategy, using advanced statistical methods to process and analyze large datasets that drive Google's decision-making processes.

The position offers an opportunity to work with cutting-edge advertising technology while collaborating with cross-functional teams including Engineers, Product Managers, and Marketing teams. You'll be responsible for solving complex problems related to advertising efficacy, user behavior analysis, and product optimization. The role requires expertise in statistical analysis, programming languages like Python, R, and SQL, and the ability to translate business questions into actionable insights.

Google's commitment to putting users first is reflected in their approach to advertising, ensuring that commercial information is relevant and useful to users. The company offers a competitive compensation package including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. This is an excellent opportunity for experienced data scientists who want to make a significant impact on products that reach billions of users worldwide.

The ideal candidate will have at least 5 years of experience in analytics and data science, with a strong educational background in a quantitative field. You'll be joining a global team that values diversity, inclusion, and innovation, working on projects that shape the future of digital advertising and commerce.

Last updated 4 days ago

Responsibilities For Senior Data Scientist, Research, Ads Metrics

  • 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
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent
  • 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 Senior Data Scientist, Research, Ads Metrics

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, a related quantitative field, or equivalent practical experience
  • 5 years of work 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
  • 2 years of experience as a data scientist or applied scientist in an industry setting

Benefits For Senior Data Scientist, Research, Ads Metrics

Medical Insurance
Equity
  • Base salary
  • Bonus
  • Equity
  • Benefits package

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