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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 · Enterprise SaaS

Description For Data Scientist, Research, App Safety Engineering

Google's App Safety Engineering (ASE) team is seeking a Data Scientist to protect Android users from abusive apps, including malware, content abuse, impersonation, and behavioral abuse. This role combines advanced analytics with practical problem-solving to keep the Android ecosystem safe. The position requires expertise in working with large datasets, applying sophisticated quantitative methods, and collaborating across product, engineering, and operations teams. You'll be responsible for conducting data research, building methodologies into production systems, and driving key decisions in app safety. The role offers a unique opportunity to directly impact user safety while working with cutting-edge data science techniques at one of the world's leading tech companies. The ideal candidate will have strong analytical skills, experience with Python and SQL, and the ability to translate complex data insights into actionable recommendations. This position offers the chance to work on meaningful problems that affect millions of Android users while collaborating with talented teams across Google.

Last updated 3 days ago

Responsibilities For Data Scientist, Research, App Safety Engineering

  • Work with large, complex datasets; solve difficult, non-routine analysis problems, applying advanced quantitative methods
  • Conduct analysis that includes data gathering and requirements specification, processing, analysis, model development and evaluation
  • Collaborate closely 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 (or 6 years with PhD)

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