The business problem Google is trying to solve is to identify and take on the biggest problems that challenge the safety and integrity of their products, including abuse and fraud cases across Google products like Search, Maps, Gmail, and Google Ads.
Requirements
- 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 with one or more of the following languages: SQL, R, Python, or C++.
- 2 years of experience with machine learning systems.
Responsibilities
- Collaborate with cross-functional groups such as Product Management, Engineering, Sales and Legal to drive projects that increase users' safety and provide better online experience through Google Ads.
- Conduct complex queries and analyses, build visual models, and construct presentations on abuse trends to aid in fraud prevention and influence change in existing abuse detection systems.
- Identify opportunities/sources for new signals, automation, and workflow improvements.
- Conduct investigations to catch fraudsters, enforce our product policies, learn spam patterns/trends and identify product vulnerabilities; may be occasionally exposed to some adult content and other somewhat disturbing content during the process.
- Work on-call schedules outside of working hours, including weekends/holidays, and with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
Other
- Bachelor's degree or equivalent practical experience.
- 2 years of experience managing projects and defining project scope, goals, and deliverables.
- Excellent written and verbal communication, problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
- Ability to work globally and cross-functionally with Google engineers and product managers.
- Ability to work with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.
