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Data Scientist, Research, App Safety Engineering

A leading 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
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Description For Data Scientist, Research, App Safety Engineering

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 technical expertise in data science with practical application in security and user protection.

The position requires strong analytical and programming skills, with experience in Python, R, and SQL. The successful candidate will work at the intersection of data science and security, developing methodologies and frameworks to improve app safety measures. They will collaborate across product, engineering, and operation teams to drive key decisions and development in app safety.

This is an excellent opportunity for a quantitative professional who wants to make a direct impact on user safety at scale. The role offers the chance to work with large datasets, implement machine learning solutions, and develop data-driven approaches to combat various forms of app abuse. At Google, you'll be part of a team that shapes technical strategies through data analysis and statistical methods, while working with cutting-edge technologies and contributing to protecting millions of Android users.

The position combines technical depth with strategic thinking, requiring both strong analytical capabilities and the ability to communicate findings effectively to various stakeholders. You'll be responsible for not just identifying problems through data analysis, but also implementing solutions that improve Google's app safety systems.

Last updated a month 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