Senior Data Scientist, Research, Ads Metrics

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

Description For Senior Data Scientist, Research, Ads Metrics

Google is seeking a Senior Data Scientist to join their Search Ads and Google Experience (SAGE) organization, which is at the forefront of developing crucial advertising products. This role combines analytical excellence with strategic thinking to shape Google's business decisions. The position involves working with complex ad products, from classic text ads to innovative Discovery ads, making it an exciting opportunity for data professionals who want to impact billions of users.

The role requires strong analytical and programming skills, with expertise in Python, R, and SQL. You'll be working at the intersection of data science and business strategy, collaborating with various teams including Engineers, Product Managers, and Marketing teams. The position offers the opportunity to work on high-impact projects that directly influence Google's advertising effectiveness and user experience.

As a Senior Data Scientist, you'll be responsible for mining through massive datasets to identify opportunities for optimization across Google's advertising ecosystem. The role combines technical expertise with business acumen, requiring both analytical skills and the ability to translate findings into actionable insights.

The position offers competitive compensation, including a base salary range of $150,000-$223,000, plus bonus, equity, and comprehensive benefits. You'll be working from either Mountain View, CA or New York, NY, contributing to Google's mission of organizing the world's information while ensuring that advertising remains useful and relevant to users.

This is an excellent opportunity for experienced data scientists who want to work with cutting-edge technology and data infrastructure while making a significant impact on one of the world's leading tech companies. The role offers both technical challenges and the opportunity to influence strategic business decisions through data-driven insights.

Last updated 7 minutes 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
  • 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

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, querying databases or statistical analysis, or 3 years with PhD
  • 2 years of experience as a data scientist or applied scientist in an industry setting

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