Staff Data Scientist, Research

$177,000 - $266,000/Yr

Google - Mountain View, CA

Full-time - Senior

Mountain View, CA

5,001-10,000 employees

Web Search Portals, Libraries, Archives, and Other Information Services

About the position

As a Staff Data Scientist at Google, you will play a crucial role in evaluating and improving Google's products by applying scientific rigor and statistical methods. You will collaborate with a multi-disciplinary team to tackle a wide range of challenges in product creation and development, ensuring that user behaviors are taken into account. This position is integral to solving complex business problems and enhancing the overall user experience across various Google platforms.

Responsibilities

• 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.
• 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).
• Independently format, re-structure, and/or validate data to ensure quality, and review the dataset to ensure it is ready for analysis.

Requirements

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
• 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.

Nice-to-haves

• 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.

Benefits

• Base salary range of $177,000-$266,000 + bonus + equity + benefits.