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Data Scientist, Search Platforms

Google
Cambridge, MA Full-time 11/26/2025 $166,000 - $244,000 a year
Master's with 2+ Years of ExperiencePhD Entry-Level

Job Description

The Search Platform Data Science team is seeking a Data Scientist to define and develop system metrics for understanding and optimizing Search systems, collaborating with engineering and product teams to enhance user experience and business outcomes.

Requirements

  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree.
  • 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
  • Experience articulating business questions and using mathematical techniques to arrive at answers using available data.
  • Experience translating analysis results into business recommendations.
  • Ability to select the most appropriate statistical tools for a given data analysis problem, paired with outstanding written and verbal communication.

Responsibilities

  • Work with data sets, solve difficult, non-routine analysis problems, applying advanced problem-solving methods as needed.
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.
  • Build and prototype analysis pipelines iteratively to provide insights at scale.
  • Develop comprehensive understanding of Google data structures and metrics, advocating for changes where needed for product development and business activity.
  • Interact cross-functionally with a wide variety of people and teams.
  • Work closely with engineers to identify opportunities for, design, and assess improvements to Google products.
  • Make business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.