Engineering Analyst, Ads Foundational Fraud, Trust And Safety
Data Science Analytics & Machine Learning
Job Description
- Bachelors degree or equivalent practical experience.
- 1 year of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
- 1 year of experience in managing projects and defining project scope, goals, and deliverables.
- Masters degree in a related quantitative field.
- Experience in metrics analysis, experiment design and automation.
- Experience with applied AI experimentation and prototyping.
- Experience in delivering problem-solving recommendations that were adopted by an organization.
- Ability to collaborate with teammates.
- Excellent communication skills, with the ability to present the results of the work.
In this role, you will be working with product managers, software engineers (e.g., Machine Learning (ML)/anti-abuse and security engineers), policy, business and review teams in devising strategy to outsmart the adversaries. You will be working on developing data-motivated insights to improve the review operations, identify new trends in foundational fraud abuse, automation of processes and enforcement, feature engineering/signal development of ML model improvements, reverse engineering, develop intelligence on threat actors, etc.At Google we work hard to earn our users trust every day. Trust & Safety is Googles team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Googles products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
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Responsibilities
- Execute projects/investigations and cross-functional initiatives within Google, interacting with executive stakeholders from Engineering, Legal, Product teams.
- Deliver improvements to the performance metrics based on understanding drivers of abuse and leveraging fellow teammates to deliver business results.
- Provide technical contributions to the team and leverage problem-solving and programming skills to ensure that solutions fit within the current product and back-end infrastructures.
- Deliver cross-functional solutions focused on user safety, process optimizations and safe business for the advertisers.
- Build or design Artificial Intelligence (AI) solutions to ensure user safety, operations optimization or Agentic solutions.
Skills
Artificial IntelligenceData AnalysisMachine LearningAiMlAnalystIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
Google India Careers 2025
Google is a global technology leader best known for its search engine, cloud computing, advertising platforms, consumer hardware, and AI innovations. Founded in 1998 by Larry Page and Sergey Brin, and headquartered in Mountain View, California, Google entered the India market in 2004 and now operates major campuses in Bengaluru, Hyderabad, Gurugram, and Mumbai. In India, Google serves billions of users through products like Search, YouTube, Android, Google Cloud, and Google Pay, while also investing heavily in digital inclusion and AI‑driven innovation.
Business Model – Google operates as a multi‑segment technology company, generating revenue primarily from advertising (Google Ads, YouTube Ads), cloud services (Google Cloud Platform, Workspace), hardware sales (Pixel devices, Nest), and subscription products (YouTube Premium, Google One). In India, Google’s business model blends B2C scale with B2B enterprise solutions, enabling it to serve both individual users and large organisations. The company’s AI‑first strategy integrates machine learning and generative AI across all products, from Search to Workspace, to deliver personalised, efficient, and secure experiences.
Recent Wins & Recognition –
- In 2024, Google Cloud India deepened its strategic alliance with PwC India to deliver Generative AI solutions across industries, leveraging Vertex AI and Gemini models to transform enterprise operations. (https://www.pwc.in/press-releases/2024/google-cloud-pwc-india-enhance-strategic-alliance-transform-enterprise-solutions-generative-ai.html)
- Google announced a ₹1,000 crore investment in India’s AI ecosystem under the IndiaAI Mission, focusing on AI research, skilling, and start‑up incubation. (https://blog.google/intl/en-in/company-news/outreach-initiatives/google-ai-india-2024-investment/)
- YouTube India surpassed 600 million monthly active users, launching new AI‑powered creator tools to boost content quality and monetisation. (https://blog.youtube/press/)
- Google was recognised among the Top 3 Best Workplaces in India 2024 by Great Place to Work® Institute, highlighting its inclusive culture and employee well‑being programs. (https://www.greatplacetowork.in/best-workplaces-in-india-2024/)
Culture & Values – Google’s core values include focus on the user, innovation, integrity, and respect for the individual. The company fosters a collaborative, open, and inclusive work environment, encouraging employees to spend 20% of their time on passion projects. In India, Google actively supports digital literacy, women in tech, and sustainability initiatives, while offering flexible work models, world‑class learning resources, and global mobility opportunities.
Client‑Facing & Internal Domains – Google India
Search & Knowledge Products
What it is – Google’s core product family, including Google Search, Google Maps, Google News, and Google Lens. India‑based roles include:
- Search Quality & Ranking – Algorithm tuning, spam detection, and relevance optimisation.
- Geo & Maps Data – Mapping accuracy, local business integration, and navigation features.
- Knowledge Graph & AI – Semantic search, entity linking, and generative AI integration.
YouTube & Content Platforms
What it is – Google’s video and creator ecosystem, including YouTube, YouTube Music, and YouTube Shorts. India‑based roles include:
- Creator Partnerships – Onboarding and supporting content creators.
- Content Policy & Moderation – Ensuring compliance with community guidelines.
- Product Growth & Monetisation – Ad formats, subscriptions, and engagement tools.
Google Cloud Platform (GCP)
What it is – Enterprise cloud services for compute, storage, AI, and analytics. India‑based roles include:
- Cloud Solutions Architecture – Designing enterprise cloud deployments.
- Data & AI Engineering – Vertex AI, BigQuery, and ML pipelines.
- Customer Engineering – Pre‑sales technical consulting and onboarding.
Ads & Commerce
What it is – Google’s advertising and commerce products, including Google Ads, AdSense, Google Shopping, and Merchant Center. India‑based roles include:
- Campaign Optimisation – Performance marketing and bid strategy.
- Product Management – Ad formats, targeting, and measurement tools.
- Merchant Solutions – E‑commerce integrations and seller support.
Hardware & Devices
What it is – Consumer electronics like Pixel phones, Nest smart home devices, and Chromebooks. India‑based roles include:
- Hardware Engineering – Device design, testing, and localisation.
- Supply Chain & Ops – Vendor management and logistics.
- Retail & Channel Partnerships – Distribution and sales enablement.
Internal Functions
What it is – Corporate and enabling teams that support Google’s global operations. India‑based roles include:
- People Operations (HR) – Talent acquisition, L&D, and employee engagement.
- Finance & Legal – Compliance, contracts, and budgeting.
- IT & Security – Infrastructure, cybersecurity, and enterprise tools.
Important dates & deadlines?
Application Deadline
30 Mar 26, 02:51 PM IST
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Engineering Analyst, Ads Foundational Fraud, Trust And Safety
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