Staff Research Data Scientist, Search Ads Metrics at Google in Mountain View, CA, USA

Job description

• Ads Metrics is the Data Scientist team for Search and O&O ads. We support the SAGE (Search Ads and Google Experience) organization in developing the most important ad products at Google - from classic text ads, to rich shopping ads, to exciting new products like Demand Gen Campaigns, Local Ads, Travel Ads, etc. These products are the heart of Google’s business in annual business, are complex, advanced, and they are rapidly growing and evolving.
• In this role, you will guide product development and executive decisions with data. You will measure the long term impact of all the changes Google makes on users, advertisers, and Google systems with innovative experiment designs; identify new growth opportunities with deep data analysis; and understand the tradeoffs between user, advertiser and Google value with principled frameworks. You will work closely with the Engineering/PM collaborators to improve the products, and with SAGE executives to understand the growth levers and their impact on business. Your role is to drive long term value for Google’s business with insightful data science.
• Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

Responsibilities

• Lead a team of data scientists to contribute to ads business growth by initiating, executing, and presenting impactful analysis and modeling projects.
• Optimize the Search Ads serving system by delivering valuable business insights from mathematical models.
• Coach and mentor data scientists by setting clear expectations, evaluating performance, and providing challenges to stretch their skills.
• Collaborate with product, engineering, executive stakeholders, and other organizations to understand needs, assist in decision-making, and align on solutions.
• Navigate multiple stakeholders and organizational complexity to drive data-driven product development.

Requirements

• In most instances, this position requires in-person interviews as part of the hiring process.
• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of experience with a PhD degree.
• 10 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of work experience with a PhD degree.

Skills

Required

• Analytics
• Coding (e.g., Python, R, SQL)
• Querying databases
• Statistical analysis

Benefits

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
• Learn more about benefits at Google.