Product Data Scientist, YouTube Search and Viewer AI

Google Inc.; San Bruno (CA); On-site; USD 138,000 - 197,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

Google Inc. is hiring a Product Data Scientist for YouTube Search and Viewer AI in a mid-level role. The position involves solving complex product problems through analytics, building models, and collaborating with teams across the company to improve search and AI-driven experiences.

You will work with Python and SQL to extract data, design experiments, and translate business questions into actionable insights, with a compensation package including equity and a bonus target.

Qualifications

• Bachelor'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) or statistical analysis.

Responsibilities

• Collaborate with cross-functional teams to identify and clarify business or product questions.
• Design and evaluate models to solve defined problems using data with limited precedent.
• Gather information on goals, priorities and data infrastructure for analysis.
• Gather, extract and prepare data across sources using SQL and Python, ensuring quality.
• Translate business questions into analysis, metrics or models and provide feedback.

Skills

Python

SQL

Statistics

Education

Bachelor's degree in a quantitative field

PhD degree (preferred)

Tools

SQL

Job description

Product Data Scientist, YouTube Search and Viewer AI

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, 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 a PhD degree.
  

Preferred qualifications:

• Experience with machine learning and experiment design principles.
• Experience with recommender systems.

About the job

YouTube Search is the second biggest search engine in the world. And its GenAI viewer experiences such as Ask YouTube is on track to become one of the largest AI products in the world. This role joins a growing team of the LLM revolution, and in a sweet spot between classic RecSys and future LLM-powered systems. In this role, projects will range from analyzing experiments, to improving foundational search systems, to developing foundational signals. We are looking for someone flexible and comfortable working in a changing environment. At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

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

US: $138000 - $197000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Collaborate with stakeholders in cross-project and team settings to identify and clarify business or product questions to answer.
• Use custom data infrastructure or existing data models. 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 and Python). Format, re-structure or validate data to ensure quality and review the dataset to ensure it is ready for analysis.
• Provide feedback to translate and refine business questions into analysis, evaluation metrics or mathematical models.

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.