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Google is looking to evaluate and improve its products, specifically focusing on the AI space for Google Search, by leveraging the latest GenAI model capabilities to enhance the user experience and unlock new use cases for billions of users.

Requirements

• coding (e.g., Python, R, SQL)
• querying databases
• statistical analysis
• 5 years of work experience using analytics to solve product or business problems
• 3 years of work experience with a PhD degree
• 8 years of work experience using analytics to solve product or business problems
• 6 years of work experience with a PhD degree

Responsibilities

• Use custom data infrastructure or existing data models as appropriate, using specialized knowledge.
• Design and evaluate models to mathematically express and solve defined problems with limited precedent.
• Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Separately format, re-structure, or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.
• Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer.
• Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

Other

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• Collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems.
• This position will bring scientific excellence and statistical methods to the tests of product creation, development and improvement with an appreciation for the behaviors of the end user.
• working closely with a team of executive engineers and product managers
• preferred working location from the following: Mountain View, CA, USA; New York, NY, USA