Senior Staff Data Scientist, Research, Search Platforms

Job Description

The Search Platform Data Science (SPDS) team at Google is looking for a highly experienced individual to work on understanding and measuring Search systems, collaborating with various teams to optimize system-level performance and user experience.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.

Responsibilities

• Work with large, complex data sets to solve difficult, non-routine analysis problems using advanced analytical methods. Conduct analysis, from data gathering to presentations.
• Build and prototype analysis pipelines for insights. Develop an understanding of Google data structures and metrics, advocating for changes to support product development and business.
• Interact cross-functionally with teams and individuals. Collaborate with engineers to identify, design, and assess improvements for Google products.
• Make business recommendations through presentations to stakeholders, leveraging visual displays of quantitative information for cost-benefit, forecasting, and experiment analysis.
• Research and develop analysis, forecasting, and optimization methods to enhance Google's user-facing products, including areas like ads and search quality, user behavioral modeling, and live experiments.

Benefits

• Employees at Google are often offered benefits like comprehensive health insurance, 401(k) matching, and flexible work arrangements, among other benefits.