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Google

Product Data Scientist, YouTube Search and Viewer AI

Google San Bruno, California, United States · $138K–$197K/yr

Software Development · 10,001+ employees

5 h ago
data-scientist Senior (5-10 yrs) Full-time United States
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About the role

Collaborate with stakeholders to identify business questions and design mathematical models to solve complex product problems. Own the end-to-end process of gathering, extracting, and validating data to ensure high-quality analysis.

What they look for

Python R SQL Statistics Data Science Machine Learning Experiment Design Recommender Systems Data Analysis Mathematical Modeling Database Querying LLM GenAI Search Systems

Requirements

Requires a bachelor's degree in a quantitative field and at least 5 years of relevant work experience, or a PhD. Preferred qualifications include experience with machine learning, experiment design, and recommender systems.

Benefits

Bonus Equity Health Insurance

Full description

Minimum 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), 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. Responsibilities:

  • 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.

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