Senior Data Scientist, Research, Ads Metrics

Google is a global technology company that provides a wide range of 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

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 heart of Google's advertising business. This role combines advanced analytics with business strategy to shape Google's advertising and technical decisions. The position requires expertise in data analysis, statistical methods, and programming, particularly using Python, R, and SQL.

The role involves working with complex advertising products, from classic text ads to rich shopping ads and new innovations like Discovery ads. As a Senior Data Scientist, you'll be responsible for processing and analyzing large datasets to identify opportunities for improving advertising efficacy and user behavior understanding. You'll collaborate closely with Engineers, Product Managers, Sales Associates, and Marketing teams to implement data-driven solutions.

The position offers a competitive compensation package, including a base salary range of $166,000-$244,000, plus bonus, equity, and comprehensive benefits. The ideal candidate will have at least 5 years of experience in analytics and product problem-solving, or 3 years with a PhD, along with 2 years of industry experience as a data scientist.

Google's commitment to putting users first is central to this role, particularly in advertising and commerce. The company believes in making ads and commercial information useful and relevant to users' needs. This position offers the opportunity to work on products that are continuously evolving and growing, including Google Ads, AdSense, Google Shopping, and Google Wallet.

The role requires strong collaborative skills, as you'll be working across teams to translate business questions into actionable analyses and mathematical models. You'll need expertise in data infrastructure, model design, and evaluation, along with proficiency in tools like SQL, R, and Python. This is an excellent opportunity for a data professional who wants to impact billions of users while working with cutting-edge advertising technology at one of the world's leading tech companies.

Last updated 20 hours 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

Benefits For Senior Data Scientist, Research, Ads Metrics

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Bonus
  • Equity
  • Benefits package

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