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Search Quality Analyst
GoogleSan Bruno, CA, USA$110,400 - $153,0002+ years
Apply Minimum qualifications:
- Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field and 2 years of experience in the job offered or in a Search Quality Analyst-related occupation.
- Position requires 2 years of experience in the following: Data synthesis for solution generation and action planning; Automated system improvement through data analysis; High-volume product data extraction and manipulation; SQL and R or Python for data analysis; and Product abuse technique and practice analysis.
About the job
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.
The US base salary range for this full-time position is $110,400 - $153,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.
Position reports to the Google office & may allow for a hybrid schedule as per Google policy.
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.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
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