Mountain View or New York Remote (City) USD 282,000 - 392,000 Yearly

Google is hiring a Principal Data Scientist

Google is seeking a Principal Data Scientist to lead the data science team responsible for its global feed products, including Discover and a high-priority, 0-to-1 AI feed product. You will act as a data, product, and business leader, driving strategies for ranking, user experience, and content to unlock product-market fit and growth at scale.

What You'll Do

  • Drive cross-functional collaboration across ranking, product experience, and content ecosystem teams to ensure seamless execution and alignment.
  • Ensure a strong metrics foundation and provide technical oversight for ranking and personalization strategies.
  • Lead the development and implementation of advanced analytics techniques, including predictive modeling and AI, for recommendation systems.
  • Establish KPIs, metrics, and performance dashboards to monitor engagement.
  • Programmatically ensure quality and accuracy across the Data Science organization.

What We're Looking For

  • Bachelor’s degree in Data Science, a similar technical field, or equivalent practical experience.
  • 15 years of experience in data science or quantitative fields such as statistics, machine learning, or software engineering.
  • Experience in using data insights to drive product excellence.

Nice to Have

  • Master's degree or PhD in Data Science, Statistics, or equivalent.
  • Experience building feed products and leading innovation in recommendation systems and personalization.
  • Innovative problem solver who turns ambiguity into clear solutions.
  • Strong communicator and creative with data presentations to executive and business audiences.

Team & Environment

You will lead and scale a specialized team of 19 data scientists.

Benefits & Compensation

  • Salary: $282,000-$392,000 + equity.

Work Mode

This position is based in Mountain View, CA or New York, NY.

Google is proud to be an equal opportunity workplace and an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Required Skills
data sciencestatisticsmachine learningsoftware engineeringML engineeringdata insightsproduct excellence data sciencestatisticsmachine learningsoftware engineeringML engineeringdata insightsproduct excellence
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Google
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Job Details
Department Data and Analytics
Category data
Posted 2 months ago