Senior Data Scientist, Research, Search Verticals and Translate corporate_fare Google place Mountain View, CA, USA ; San Francisco, CA, USA Apply info_outline info_outline X Info Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; San Francisco, CA, USA . Qualifications Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience. At least 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or conducting 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. Preferred qualifications: PhD in Computer Science, Statistics, Applied Mathematics, Operations Research or related technical field. 8 years of work experience with analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or conducting statistical analysis, or 6 years with a PhD. Experience influencing product strategy and innovation through data science. Experience in controlled experiment design and causal inference methods. About the job In this role, your mission is to bring new users to vertical and international experiences and help existing users maximize their engagement with the current verticals. Your goal is to accelerate products with product-market fit, identify common patterns and opportunities, and scale impact across all verticals rapidly. In Google Search, we're reimagining how to search for information—any way and anywhere. We tackle complex engineering challenges and expand our infrastructure while maintaining an accessible and useful experience for users worldwide. Joining the Search team offers an opportunity to impact billions globally. Compensation The US base salary range for this full-time position is $166,000-$244,000 plus bonus, equity, and benefits. Salary ranges are role, level, and location-dependent. Specifics will be shared by your recruiter during the hiring process. Note that listed salaries reflect base pay only, excluding bonuses, equity, or benefits. Learn more about Google benefits. Responsibilities Collaborate with stakeholders across projects to identify and clarify business or product questions. Provide feedback to translate questions into analysis, metrics, or models. Develop advanced analysis, forecasting, experimentation, machine learning, and optimization methods to identify growth opportunities (e.g., forecasting at scale, user segmentation, causal inference, churn prediction). Gather information on business goals, data infrastructure, and organizational context. Initiate and drive projects to completion independently. Manage data extraction and compilation from various sources using tools like SQL, R, Python. Ensure data quality and readiness for analysis. Google is an equal opportunity employer committed to diversity and inclusion. We value a workforce that reflects our users and fosters a culture of belonging. We provide equal employment opportunities regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or related conditions. See Google's EEO Policy and related resources. English proficiency is required for all roles to facilitate global collaboration. Google does not accept resumes from recruitment agencies and is not responsible for fees related to unsolicited resumes. #J-18808-Ljbffr Google Inc.
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