Senior Product Data Scientist, Discover Experience

Google Inc.

Mountain View (CA)

On-site

USD 163,000 - 236,000

Full time

4 days ago
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Benefits offered by this job

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Bonus target
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Job summary

Google Mountain View, CA, USA invites applications for a Senior Product Data Scientist in Discover Experience. You will lead a data-informed strategy for Discover, partnering with product, engineering, UX researchers, and design to launch data-driven features.

The role requires a quantitative degree and 8+ years analytics experience (or 5+ with a Master's), plus strong coding in Python, R, and SQL; preferred Master's. Excellent problem framing and communication across levels.

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).

Responsibilities

  • Conduct analyses and launch criteria; design, implement, and analyze experiments to measure the impact of new features and product changes.
  • Drive exploratory analysis of user understanding and behavior patterns to identify opportunities for Discover.
  • Collaborate with Cross-Functional Team (Product Management, Engineering, UXR, Design) on launch analysis, product iteration, and impact quantification.

Skills

Analytics
Statistics
Python
R
SQL
Data Science

Education

Bachelor's degree
Master's degree preferred

Job description

Senior Product Data Scientist, Discover Experience

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Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

  • 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.
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 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.

Our role in Discover Data Science is to advance 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

  • 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.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity 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 condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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