Senior Product Data Scientist, Discover Experience

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 knowledge 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 mission is to make it effortless for people to catch up on their interests by bringing together informative, entertaining content.

• Conduct analysis and defining launch criteria for important launches, designing, implementing, and analyzing experiments to measure the impact of new features and product changes, ensuring we make data-driven decisions.
  
• Drive exploratory analysis and user understanding, user behavior patterns, and identifying, sizing and articulating new opportunities for Discover.
  
• Work with Cross-Functional Team (Product Management, Engineering, UXR, Design) on launch analysis, product iteration, and impact quantification.

Minimum qualifications:

• Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).

Preferred qualifications:

• Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  
• 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
• Excellent problem-framing, problem-solving and team collaboration skills.
• Excellent communication skills, especially in communicating technical and statistical concepts clearly and concisely among audiences across different levels.