Staff Data Scientist, Ads Metrics

Google is a global technology company that provides internet-related services and products.
$177,000 - $266,000
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI

Description For Staff Data Scientist, Ads Metrics

Google is seeking a Staff Data Scientist to join their Ads Metrics team, focusing on powering the open internet with cutting-edge advertising technology. This role combines advanced analytics, AI/ML expertise, and business acumen to drive Google's advertising products including search, display, shopping, travel, and video advertising. The position requires a strong quantitative background with 8+ years of experience in analytics and data science, particularly in applying AI/ML technologies to media and entertainment industry problems.

The role offers an opportunity to work on high-impact projects that connect people, publishers, and advertisers through trusted advertising experiences. You'll be responsible for leading the GenAI exploration in Ads Metrics, collaborating with cross-functional teams, and developing sophisticated mathematical models to solve complex business challenges. The position requires expertise in Python, SQL, and other analytical tools to handle large-scale data analysis and modeling.

Working at Google, you'll be part of a team that helps businesses of all sizes grow, from small enterprises to major brands and YouTube creators. The role offers competitive compensation ($177,000-$266,000) plus comprehensive benefits including equity, medical coverage, and 401k. This is an excellent opportunity for an experienced data scientist who wants to make a significant impact on Google's advertising ecosystem while working with cutting-edge technology and talented colleagues.

The ideal candidate will have a master's degree in a quantitative field, strong technical skills, and experience with consumer-facing tech products. You'll be working from the Mountain View office, contributing to Google's mission of organizing the world's information and making it universally accessible and useful through advanced advertising solutions.

Last updated a day 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 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
  • 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 of work experience with a PhD degree
  • 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

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