CyberSecurity Data Scientist, Account and Device Intelligence

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 or PhD in Computer Science, Engineering, Mathematics, Physics or a related technical field.
• Experience in large-scale data analysis and related tools and processes.
• Experience in automating processes or applied AI.
• Knowledge in account security, network engineering, malware or artificial intelligence.

Responsibilities

• Provide high-quality, detailed and actionable qualitative and quantitative understanding of the threat landscape, designing and improving additional data collection, processes and quality measures.
• Design and build early warning alerts for novel and changing account threats, based on researching, understanding and experimenting with attacker operations and attacker interactions with our systems.
• Provide and apply our threat intelligence to be ready to respond to new adversarial campaigns. 
• Lead incident response to incidents efforts for Google, including the special response in case of severe incidents in collaboration with the UP/Account and Device Intelligence (ADI) team.
• Work together with our GOC team (located in Hyderabad) to scale the operational work required to protect Google accounts, such as handling low severity escalations and alerts, and maintaining the ground truth quality. Provide the training and work with UP/ADI.

About the job

In this role, you will be working with a team of analysts that assess and address threats against Google accounts. You will identify and solve complex issues at scale and have investigative and technical skills. You will be proactive, motivated, organized, responsible, innovative and are able to work well in a fluid, global, cross-functional, and team-oriented environment and demonstrate technical know-how, effective communication to get things done. You will also work very closely with engineering teams and product teams to make sure that new products and features provide a good, safe experience for users. You will build, leverage and evaluate ML/AI models to solve cybersecurity and abuse issues.

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.