Product Data Scientist — ML & Recommender Systems

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

Job summary

Google is seeking a data scientist to join the YouTube Search team, bridging classic recommender systems with future LLM-powered analytics. You will analyze experiments, improve foundational search signals, and develop data-driven models in a fast-changing environment.

Data-driven decision making, collaboration with stakeholders, and exposure to ML systems are core aspects of this role. Competitive compensation includes equity and bonus targets.

Qualifications

• Minimum: quantitative bachelor’s degree or PhD in a related field.
• 5 years of analytics experience plus coding (Python/SQL) or a PhD.
• Strong foundation in statistics and data analysis.

Responsibilities

• Collaborate with stakeholders to translate business questions into analyses.
• Design and evaluate models to solve defined problems with limited precedent.
• Gather goals, priorities, and data context for analytical work.
• Gather, extract, and prepare data across sources using SQL and Python.
• Provide feedback to refine questions into metrics or models.

Skills

Python

SQL

R

Machine learning

Experiment design

Recommender systems

Education

Bachelor's degree (quantitative)

PhD degree

Tools

Data analysis tools

Job description

Google is seeking a data scientist to join the YouTube Search team, bridging classic recommender systems with future LLM-powered analytics. You will analyze experiments, improve foundational search signals, and develop data-driven models in a fast-changing environment.

Data-driven decision making, collaboration with stakeholders, and exposure to ML systems are core aspects of this role. Competitive compensation includes equity and bonus targets.