From Google's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
The Trust and Safety team reduces risk and protects the experience of the users and business partners across Google's expanding base of products. We defend Google's integrity by fighting spam, fraud and abuse, and develop and communicate product policies. We work with a variety of teams from Engineering to Legal, Public Policy and Sales Engineering to set policies and combat fraud and abuse in a scalable way, often finding industry-wide solutions. Trust and Safety team members are motivated to find innovative solutions, and use technical know-how, user insights and proactive communication to pursue the highest possible quality and safety standards for users across Google products.
The US base salary range for this full-time position is $132,000 - $190,000 + 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.
Construct accurate and efficient queries of medium complexity to produce robust data interpretations and solve problems using statistical methods.
Identify and prevent fraud by utilizing domain expertise to uncover system gaps, source additional training examples at scale, and mitigate abuse.
Compute performance statistics for complex machine learning models and classifiers to evaluate technical effectiveness, identify biases, and resolve classification issues.
Generate and test hypotheses for ambiguous challenges by defining quantitative metrics and extracting creative signals for algorithm improvement and feature engineering.
Improve automated tools and systems through technical analysis, independently interpreting complex data to present actionable insights to diverse stakeholders.
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related field and 2 years of experience in the job offered or in a Engineering Analyst-related occupation.
Position requires 2 years of experience in the following: Data analysis and synthesis to identify trends, generate summary statistics, and draw insights from quantitative and qualitative data; Data visualization utilizing charts, graphs, and tables to capture and share data insights; Technical solution design to translate complex business requirements into robust technical blueprints adhering to architectural standards; Technical infrastructure navigation to communicate system behaviors, capabilities, and limitations with engineering partners; and Large volume data processing and manipulation for product-related reporting and decision-making.
Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related field and 2 years of experience in the job offered or in a Engineering Analyst-related occupation.
Position requires 2 years of experience in the following: Data analysis and synthesis to identify trends, generate summary statistics, and draw insights from quantitative and qualitative data; Data visualization utilizing charts, graphs, and tables to capture and share data insights; Technical solution design to translate complex business requirements into robust technical blueprints adhering to architectural standards; Technical infrastructure navigation to communicate system behaviors, capabilities, and limitations with engineering partners; and Large volume data processing and manipulation for product-related reporting and decision-making.
Scores your resume against this job the way resume scanners do: the job's hard and soft skills, searchability, recruiter tips and formatting.
Create a free account to see your score. Your resume stays in this browser until then, and we never store it.
Already a member? Sign in