Research Data Scientist, ML & Recommender Systems

Google; San Bruno (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google is seeking a Senior Data Scientist for YouTube Search to advance analytics, experiments and recommender-system research at a leading tech scale. You will collaborate across teams to translate product questions into rigorous analyses and models, and shape foundational signals for AI-powered features.

Ideal candidates have a strong quantitative background and hands-on experience with data infrastructure, SQL/Python, and experimentation design.

Qualifications

• Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering or a related quantitative field.
• 3 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 to identify and clarify business questions and translate them into analysis, metrics or models.
• Design and evaluate models using data infrastructure or existing data models to solve defined problems.
• Gather information, goals and data context to inform analysis and data requirements.
• Own data gathering, extraction and validation across sources using tools like SQL and Python to ensure analysis readiness.

Skills

3 years analytics experience

Education

Master's degree in quantitative field

PhD degree considered

Job description

Google is seeking a Senior Data Scientist for YouTube Search to advance analytics, experiments and recommender-system research at a leading tech scale. You will collaborate across teams to translate product questions into rigorous analyses and models, and shape foundational signals for AI-powered features.

Ideal candidates have a strong quantitative background and hands-on experience with data infrastructure, SQL/Python, and experimentation design.