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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 · Enterprise SaaS

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 advanced analytical skills with practical problem-solving to enhance Android ecosystem safety. The position requires expertise in working with large datasets, applying sophisticated quantitative methods, and translating data insights into actionable recommendations.

The role involves close collaboration with Product Management, Engineering, and Operation teams to define objectives, implement quantitative methods, and develop frameworks for measuring success. The ideal candidate will have strong technical skills in Python, R, and SQL, along with the ability to handle complex data analysis and model development.

This is an opportunity to make a direct impact on user safety in the Android ecosystem while working with cutting-edge technology and data science methodologies. The position offers the chance to work with Google's vast data resources and contribute to protecting millions of users from various forms of digital abuse.

The role combines technical expertise with strategic thinking, requiring both analytical capabilities and the ability to communicate findings effectively to various stakeholders. Success in this position means directly contributing to keeping the Android ecosystem safe and protecting users from a variety of types of abuse through data-driven solutions and methodologies.

Last updated 2 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 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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