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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

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 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 ideal candidate will have 5+ years of experience (or 3+ with PhD) in using analytics to solve complex product or business problems. The role involves working with large datasets, developing methodologies, and implementing solutions that directly impact Android user safety.

As part of Google's data-driven culture, you'll collaborate with Engineers, Product Managers, and Operations teams to shape technical strategies and improve product safety. The role offers the opportunity to work on meaningful problems that affect millions of Android users worldwide, combining statistical analysis with practical security solutions.

The position is based in Bengaluru, India, offering the chance to work with Google's global teams while contributing to critical user safety initiatives. This role is perfect for someone who wants to apply their quantitative skills to real-world security challenges while working for one of the world's leading technology companies.

Google offers comprehensive benefits, including medical insurance and parental leave, along with a strong commitment to diversity and inclusion. The company provides equal employment opportunities and accommodations for special needs, creating an inclusive work environment for all employees.

Last updated 8 days 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 (or 6 years with PhD)

Benefits For Data Scientist, Research, App Safety Engineering

Medical Insurance
Parental Leave
  • Equal employment opportunity
  • Accommodations for special needs