Bachelor's degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related field.
2 years of experience in data analysis and synthesis to identify trends and insights.
Proficient in data visualization using charts, graphs, and tables.
Experience in technical solution design for complex business requirements.
Skilled in navigating technical infrastructure and communicating system behaviors.
Experience in processing and manipulating large volumes of data for reporting.
Responsibilities
Construct accurate queries to produce robust data interpretations using statistical methods.
Identify and prevent fraud by uncovering system gaps and mitigating abuse.
Compute performance statistics for machine learning models to evaluate effectiveness and resolve issues.
Generate and test hypotheses for challenges by defining metrics and extracting signals for improvement.
Improve automated tools through technical analysis and present actionable insights to stakeholders.
Benefits
Hybrid work schedule options as per Google policy.
Access to comprehensive health and wellness programs.
Opportunities for professional development and training.
Participation in equity programs and bonuses based on performance.
Supportive work environment focused on innovation and collaboration.
Full Job Description
Minimum qualifications:
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.
About the job
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.
Responsibilities
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.
About Google
Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
