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Data Scientist, Research, App Safety Engineering

Google is a global technology company that specializes in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
AI · Cybersecurity

Job Description

Google is seeking a Data Scientist to join their App Safety Engineering (ASE) team, focusing on protecting Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. This role combines data science expertise with security engineering to create safer mobile experiences.

The position requires strong analytical and technical skills, with the successful candidate working at the intersection of data science and security. You'll be responsible for conducting sophisticated data analysis, developing methodologies, and implementing solutions to protect Android users from various forms of app abuse.

As a Data Scientist in this role, you'll collaborate with multiple stakeholders across product, engineering, and operation teams. Your work will directly impact the safety and security of millions of Android users worldwide. The role involves not just analyzing data, but also building production systems and implementing process improvements based on your findings.

The ideal candidate should have strong quantitative skills, experience with programming languages like Python and SQL, and the ability to translate complex data analysis into actionable insights. You'll be working in a dynamic environment where you'll need to balance technical expertise with business acumen to drive decision-making.

This position offers the opportunity to work at one of the world's leading technology companies, with competitive benefits and the chance to make a significant impact on mobile app security. You'll be based in Bengaluru, working with global teams to protect users and maintain the integrity of the Android ecosystem.

Last updated 8 hours ago

Responsibilities For Data Scientist, Research, App Safety Engineering

  • Work with datasets, solve non-routine analysis problems, and apply quantitative methods as needed
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation
  • Collaborate with stakeholders in Product Management, Engineering, and Operation teams
  • Develop, own, and evolve methodologies and frameworks providing a source of truth measures
  • Establish comprehensive understanding of the production systems and build data driven solutions

Requirements For Data Scientist, Research, App Safety Engineering

Python
  • Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
  • 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree
  • Experience articulating and translating business questions and using statistical techniques
  • 8 years of work experience preferred (6 years with PhD)

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