Senior Data Scientist, Research, Search Verticals

Key Skills

Analytical and Problem solving, Data science techniques, Design, Python Programming, R Programming, SQL

Job Description

Minimum qualifications:

• 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.

Preferred qualifications:

• 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.
• Applied experience with machine learning on large datasets.
• Experience designing and building machine learning models.
• Experience with Large Scale Computing in a business context.
• Ability to be comfortable with Casual Inference and Operations Research.
• Excellent problem-framing, problem-solving and project management skills.

About the job

As a Search Verticals and International Growth Senior Data Scientist, will develop advanced statistical and other analytical methods to identify growth opportunities, such as emerging user needs, user and lifecycle segmentation, conversion, churn and win-back prediction, targeting, uplift modeling, 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-eval 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

• Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities , e.g., forecasting at scale, user segmentation, user cohort or causal inference modeling, and retention/churn prediction.
• 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).