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Senior Data Scientist, Ads Planning Metrics

Google is a global technology company that builds innovative products and services used by billions of people worldwide.
Data
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS · Advertising

Job Description

Google is seeking a Senior Data Scientist to join their Ads Planning Metrics team, where you'll play a crucial role in helping serve Google's worldwide user base of more than a billion people. As a Data Scientist, you'll provide quantitative support, market understanding, and strategic perspective throughout the organization. You'll be working within Google Ads, which powers the open internet by connecting people, publishers, and advertisers through innovative advertising technology.

In this role, you'll be responsible for designing and analyzing experiments, defining key performance indicators, and developing sophisticated measurement methodologies. You'll work with cross-functional teams to ensure the accuracy and feasibility of measurement strategies, particularly focusing on Ads Planning initiatives. The position requires expertise in statistical analysis, experimental design, and programming skills in languages like Python and SQL.

The ideal candidate will bring a strong quantitative background with at least 8 years of experience in analytics and data science, or 5 years with a Master's degree. You should be well-versed in statistical methods, including linear models, hypothesis testing, and Bayesian methods. This role offers the opportunity to impact Google's advertising products across search, display, shopping, travel, and video advertising, while helping businesses of all sizes achieve measurable results.

Working at Google, you'll be part of a company committed to diversity, equality, and creating value for users worldwide. The role combines technical expertise with business acumen, requiring both analytical skills and the ability to communicate insights effectively to stakeholders. You'll be at the forefront of developing metrics and methodologies that drive decision-making in Google's advertising ecosystem.

Last updated 17 days ago

Responsibilities For Senior Data Scientist, Ads Planning Metrics

  • Design and analyze experiments, including randomized controlled trials, to measure and guide the impact of Ads Planning initiatives
  • Define key performance indicators and their associated value for advertisers and Google across various Ads Planning initiatives
  • Formulate metrics that capture the impact of Ads Planning tools on advertiser spend, reach, Google business growth, and agreement value
  • Develop methodologies for conducting impact studies for agencies and third-party tools
  • Collaborate with cross-functional teams to ensure the accuracy and feasibility of measurement strategies

Requirements For Senior Data Scientist, Ads Planning Metrics

Python
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field or equivalent practical experience
  • 8 years of experience in using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years of experience with a Master's degree
  • Experience with methods of statistical data analysis (e.g., linear models, hypothesis testing, multi-level models, Bayesian methods, etc.)
  • Experience with A/B testing or other experimental design methodologies

Benefits For Senior Data Scientist, Ads Planning Metrics

Medical Insurance
401k
Parental Leave
  • Comprehensive health benefits
  • Retirement plans
  • Parental leave

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