Google | Hiring | Data Analyst, Ads, Trust and Safety | BigDataKB.com | 08-04-2022

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Job Location: Hyderābād

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 4 years of experience in a related field of Ad security and quality control, Ad Operations, programmatic buying, analytics, or consulting.
  • Experience working with display/video ad platforms.
  • Experience working on SQL, R, and Python.

Preferred qualifications:

  • Experience with fraud risk management and investigations, Ad Security and Quality control, Ad call chain debugging and/or Ad Operations.
  • Experience in one or more of the following areas: Querying (e.g. SQL), R, Python, or JavaScript.
  • Understanding of the programmatic ad serving process.
  • Ability to identify workflow pain points, optimize, and scale processes.

About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you’re a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed – with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.

Malvertising (a portmanteau of “malicious advertising”) is the use of online advertising to spread malware. Malvertising involves adding malicious or malware-laden advertisements into legitimate online advertising networks and webpages.

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As a Data Analyst, you will work with cross-functional teams to devise strategies to outsmart the adversaries. Specifically, you will be working on developing data driven insights to improve the review operations, identify new trends in Malvertising, automation of processes and enforcement, feature engineering/signal development of machine learning model improvements, reverse engineering JavaScript, and develop intelligence on threat actors.

At Google we work hard to earn our users’ trust every day. Trust & Safety is Google’s 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 diverse team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google’s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.


Responsibilities

  • Work with cross-functional groups such as Product Management, Engineering, Sales, and Legal to drive projects to protect users from malvertising.
  • Conduct complex analyses, de-obfuscate encoded codes, reverse engineer, identify spam patterns, and build signatures to detect malicious ads and creatives.
  • Lead threat intelligence and incident response, contribute to increasing our ability to triage, respond, and understand advanced threat actors and the tools they use.
  • Provide on-call coverage periodically and respond to escalations from internal and external parties within designated service levels.

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.

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