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Senior Data Scientist, Research, Ads Metrics

Google is a global technology company that specializes in internet-related services and products.
$166,000 - $244,000
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Enterprise SaaS · Advertising
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Job Description

Google is seeking a Senior Data Scientist to join their Search Ads and Google Experience (SAGE) organization, focusing on developing and improving critical Ad products. This role combines advanced analytics with business strategy to enhance Google's advertising efficacy and user experience. The position requires expertise in statistical analysis, data mining, and programming, working with large-scale datasets to drive decision-making across the organization.

The role involves collaborating with Engineers, Product Managers, Sales Associates, and Marketing teams to optimize Google's advertising products, from classic text ads to rich shopping ads and new Discovery ads. The successful candidate will be responsible for processing, analyzing, and interpreting huge data sets to identify opportunities for improving Google's business operations and technical strategies.

This position offers a competitive compensation package including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The role is based in Mountain View, CA, and requires strong analytical skills, programming proficiency in languages like Python, R, and SQL, and the ability to translate complex business questions into actionable insights.

The ideal candidate will have at least 5 years of work experience in analytics and data science, with a Master's degree in a quantitative field. They should be passionate about using data to drive business decisions and have a proven track record of implementing data-driven solutions in an industry setting. This role represents an opportunity to make a significant impact on Google's advertising products while working with cutting-edge technology and data infrastructure.

Last updated 2 months 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
  • 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
401k
  • Medical Insurance
  • Equity
  • 401k