Product Data Scientist — YouTube Search & AI Viewer

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

Job summary

Google LLC in California seeks a Product Data Scientist for YouTube Search and Viewer AI to analyze experiments, improve search foundations, and build signals for next-gen AI features.

You will collaborate with cross-functional teams to translate business goals into robust analyses, using SQL, Python, and ML methods, while adapting to a rapidly evolving AI landscape.

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

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.

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.

Skills

5 years analytics experience

ML/Experiment design

Recommender systems

Education

Bachelor's degree in quantitative field

Tools

Python

R

SQL

Job description

Google LLC in California seeks a Product Data Scientist for YouTube Search and Viewer AI to analyze experiments, improve search foundations, and build signals for next-gen AI features.

You will collaborate with cross-functional teams to translate business goals into robust analyses, using SQL, Python, and ML methods, while adapting to a rapidly evolving AI landscape.

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