Staff Research Data Scientist, Discover Experience

Google LLC; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus plan

Job summary

Google LLC in Mountain View is seeking a senior data scientist for the Discover Data Science team to drive data-informed strategy for the Discover feed. You will identify opportunities, accelerate execution, and build analytics pipelines at scale to inform product decisions.

Join a cross-functional team within Google Search AI to apply advanced modeling, work with world-class researchers, and improve user experience for billions of interactions.

Qualifications

• 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.
• 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.
• Experience with strategic analysis, metric reporting and executive presentations.
• Experience with statistical modeling, survey design, data analysis and effective experimental design.
• Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment.
• Ability to apply statistical training to real-world data.
• Excellent communication skills with the ability to extract insights from data and telling convincing stories.

Responsibilities

• Learn more about benefits at Google .
• Work with large, complex data sets; solve difficult, non-routine analysis problems; apply advanced problem-solving methods; and conduct analysis that includes data gathering, requirement specification, processing, analysis, ongoing deliverables and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development.
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design and assess improvements to Google products.
• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling and live experiments.

Skills

Analytics experience

Python

SQL

R

Education

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

Job description

Qualifications

• 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.

Minimum qualifications

• 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.

Preferred qualifications

• 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.
• Experience with strategic analysis, metric reporting and executive presentations.
• Experience with statistical modeling, survey design, data analysis and effective experimental design.
• Ability to complete project work separately and work with cross-functional teams in a dynamic, fast-moving environment.
• Ability to apply statistical training to real-world data.
• Excellent communication skills with the ability to extract insights from data and telling convincing stories.

About The Job

From the beginning, Google's mission has been to organize the world’s information and make it universally accessible and useful, and we consider it a privilege to be able to help. As technology continues to evolve, our commitment remains to help users in their journey to connect to helpful information more easily, leveraging technology to find new ways to satisfy users’ information needs.

Discover is a personalized feed that provides users with relevant and meaningful information based on their interests and our understanding of the world’s information, and is part of the broader Search organization at Google. Today, Discover is one of the world’s largest feed products, with more than 500M daily active users. Our vision is to create a feed that is “magically made for you and by you.” And our mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content from the voices they care about.

Our role in Discover Data Science is to drive that mission with a data-informed strategy, identifying opportunities and accelerating execution. The Discover Feed Experiences team owns the user-facing (non-ranking) elements of the Discover product including experience, growth, AI integration into feed and more.

Join Google Search AI and work at the intersection of industry leading global scale. We apply breakthrough research, leveraging models like Gemini, to launch high-impact products that help billions ask any question and get things done. If you want to drive the future of AI in Search and work with world-class experts to deliver tangible, global impact and continuous innovation, this is the place.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Work with large, complex data sets; solve difficult, non-routine analysis problems; apply advanced problem-solving methods; and conduct analysis that includes data gathering, requirement specification, processing, analysis, ongoing deliverables and presentations.
• Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes where needed for both product development.
• Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design and assess improvements to Google products.
• Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.
• Research and develop analysis, forecasting and optimization methods to improve the quality of Google's user-facing products. Application areas include ads quality, search quality, end-user behavioral modeling and live experiments.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .