Data-Driven Search Quality Analyst

Google Inc.; San Bruno (CA); Hybrid; USD 110,000 - 153,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Google’s YouTube team in San Bruno, CA is seeking a Share Search Quality Analyst to apply data-driven methods for detecting and preventing search fraud. The role reports to the Google office with a potentially hybrid schedule in line with policy.

The base US salary ranges from $110,400 to $153,000, with a 15% bonus target, equity, and role-dependent benefits. Strong analytical skills and experience with data synthesis, SQL, and Python are valued.

Qualifications

• Bachelor’s degree in CS/Data Science/Statistics/Math or related field with 2 years of related experience.
• 2 years of experience in data synthesis, automated analysis, and data extraction/manipulation; SQL and Python (or R) experience; fraud analysis.

Responsibilities

• Analyze complex problems using data and statistical methods to identify and prevent fraud.
• Improve tools and automated systems through technical analysis and present findings to stakeholders.
• Generate and test hypotheses to define quantitative metrics that drive logical decision-making.
• Construct accurate queries to interpret data and communicate insights to diverse audiences.
• Identify meaningful signals and behavioral patterns to improve algorithms and address system gaps. Compute statistics to evaluate the performance of complex technical models and classifiers.

Skills

Data synthesis

Automated analysis

Data extraction & manipulation

SQL & Python

Fraud analysis

Education

Bachelor’s degree in CS/Data Science/Statistics/Math

Job description

Google’s YouTube team in San Bruno, CA is seeking a Share Search Quality Analyst to apply data-driven methods for detecting and preventing search fraud. The role reports to the Google office with a potentially hybrid schedule in line with policy.

The base US salary ranges from $110,400 to $153,000, with a 15% bonus target, equity, and role-dependent benefits. Strong analytical skills and experience with data synthesis, SQL, and Python are valued.