Engineering Analyst

About the role

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.

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.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, Statistics, Mathematics, or a related field.
• 2 years of experience in the job offered or in an Engineering Analyst-related occupation.
• 2 years of experience with data analysis and synthesis to identify trends, generate summary statistics, and draw insights from quantitative and qualitative data.
• 2 years of experience with data visualization utilizing charts, graphs, and tables to capture and share data insights.
• 2 years of experience with technical solution design to translate complex business requirements into robust technical blueprints adhering to architectural standards.
• 2 years of experience with technical infrastructure navigation to communicate system behaviors, capabilities, and limitations with engineering partners.
• 2 years of experience with large volume data processing and manipulation for product-related reporting and decision-making.

Benefits

• Health, dental, vision, life, and disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28–30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Pay

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.

Schedule

Position reports to the Google office and may allow for a hybrid schedule as per Google policy.