Staff Research Data Scientist, Search

Google•Mountain View, CA

3d•$197,000 - $291,000

About The Position

As a data science team that supports Core Ranking, User Feedback, and Context Engineering (CRAFT), we are the energy for all of Google’s key products - Search, AI Overview, and AI Mode . Working alongside experienced engineers and product managers, we address the issues, push the boundaries of AI quality, and architect novel ways for users to experience Google’s AI capabilities on a daily basis. As a Staff Data Scientist, you will interact cross-functionally with a wide variety of teams, and working closely with Product Managers and Engineering leads to identify growth and quality opportunities. You will conduct analyses of datasets, applying statistical methods to solve problems, and presenting actionable insights and recommendations to various stakeholders. Your insights will influence product development, improve system architectures, and drive business outcomes and understand, evaluate and develop measurement methodologies for GenAI models to guide our hillclimbing and iterative improvements. You will work alongside Engineering and Product Manager (PM) to drive productionalization of such measurements and to impel system changes and launches.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

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.
Ability to apply appropriate quantitative/statistical models to real-world business problems, and experience with effective experimental design, training and experience in areas such as data analysis, survey design, statistical modeling and machine learning algorithms.

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