Senior Data Scientist, Search Verticals

About the position

As a Search Verticals and International Growth Senior Data Scientist, you will develop advanced statistical and other problem-solving methods to identify growth opportunities such as emerging user needs, user and lifecycle segmentation, conversion, churn and win-back prediction, targeting, uplift modeling and value estimation. You will autonomously drive projects from start to finish, solve complex business problems, and communicate solutions effectively. By interacting cross-functionally and influencing senior leadership, you will advocate for users and focus on sustainable, long-term growth. This role involves understanding a wide range of search products, from GenAI to simple UI optimization, and using logs, surveys, and human-evaluation driven methods to design and validate solutions. 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.

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.
• Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities.
• Gather information, business goals, priorities, and organizational context around the questions to answer.
• Initiate projects inside and across the organization and drive to completion autonomously.
• Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python).
• Independently format, re-structure, 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.
• 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.
• 2 years of experience in a data science role within a technology company.

Nice-to-haves

• PhD in Computer Science, Statistics, Applied Mathematics, Operations Research or related technical 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.
• Experience in growth data science.
• Experience with Machine Learning on large datasets.

Benefits

• Base salary range of $166,000-$244,000 + bonus + equity + benefits.