Engineering Analyst, Trust and Safety Monetization

Google; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Google in Bengaluru is seeking a Data Analytics professional to perform data analysis, identify trends, and draw insights to support ads safety and growth. You will collaborate with cross-functional teams to drive data-informed decisions and defend ad products from fraud and abuse.

The role emphasizes analyzing millions of events, building scalable insights, and partnering with Engineering for defenses and automation. A strong foundation in data analysis and programming is essential.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Responsibilities

• Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
• Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
• Drive full lifecycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
• Work collaboratively with team mates around the globe and deliver projects from beginning to end in a timely manner.
• Be able to review or be exposed to sensitive content.

Skills

Data analysis

Trend identification

Project management

SQL

R

Python

C++

Statistical analysis

Machine Learning libraries

LLMs / Generative AI

Education

Bachelor's degree or equivalent practical experience

Master's degree in a quantitative discipline

Job description

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
• 2 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications

• Master's degree in a quantitative discipline.
• 2 years of experience with one or more of the following languages: SQL, R, Python, or C++.
• Knowledge of one or more of the following areas: statistical analysis and Machine Learning libraries (e.g., R, Scikit-learn), programming languages (e.g., Python, C/C++), Large Language Models (LLMs) or Generative AI.

About The Job

The mission of our team is to build an ads ecosystem by ensuring safe and healthy growth for publishers, advertisers, and end-users. We defend Google's ad products from fraud and abuse. We evaluate millions of publishers, analyze billions of events, and create scalable methods to stop bad actors and motivated fraudsters from causing harm. We understand the user's point of view and are passionate about using our technical, sales, and customer service acumen to protect them. When we get this right, we help users, advertisers, publishers, and Google harness information and monetize the internet safely and usefully.

Responsibilities

• Perform analysis and investigations using a variety of data sources and take enforcement actions to identify and defend novel fraud and abuse on Google's ad products.
• Partner closely with Engineering teams to improve ad traffic infrastructure, defense systems, and workflows. Proactively identify and help implement efficiency improvements through advanced machine learning techniques, scaled defenses, and automation.
• Drive full lifecycle projects across Product, Engineering, and Trust and Safety teams to prevent abuse by improving policies and closing product vulnerabilities.
• Work collaboratively with team mates around the globe and deliver projects from beginning to end in a timely manner.
• Be able to review or be exposed to sensitive content.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .