Product Data Scientist, Geo Abuse and Risk

Global technology company specializing in internet-related services and products.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Product Data Scientist, Geo Abuse and Risk

Google is seeking a Product Data Scientist to join their Geo Data Insights and Analytics (GDIA) Abuse and Risk team. This role combines advanced statistical analysis with practical problem-solving to help maintain the integrity of Google Maps. The position involves working with cutting-edge technologies including Large Language Models and classical machine learning techniques to combat abuse while ensuring a positive contributor experience.

The ideal candidate will be responsible for developing complex sampling algorithms, performing statistical modeling, and leveraging Gen AI tools to identify and mitigate harmful content. They will work closely with Engineering, Operations, and Product teams to track key metrics and measure impact. The role requires expertise in statistical analysis, data mining, and project management.

This position offers the opportunity to work at one of the world's leading tech companies, serving over a billion users worldwide. The successful candidate will play a crucial role in keeping Google Maps safe from bad actors while optimizing the experience for legitimate users. They will have access to large-scale datasets and the latest analytical tools, working alongside talented engineers and data scientists.

The role combines technical expertise with business acumen, requiring someone who can not only perform complex analyses but also communicate findings effectively to stakeholders. This is an excellent opportunity for a data scientist who wants to make a significant impact on a product used by billions of people while working with cutting-edge technology and contributing to user safety and trust.

Last updated 3 months ago

Responsibilities For Product Data Scientist, Geo Abuse and Risk

  • Perform large-scale data analysis, statistical modeling and inferential ML to identify opportunities for improvement
  • Work on complex sampling algorithm development to model rare events and use stochastic methods
  • Use tools such as Gen AI and similarity based clustering to remove bad content or help develop mitigation mechanisms
  • Work with large data sets, build robust data pipelines, automate data extraction, and build monitoring/reporting dashboards
  • Prioritize and communicate user needs, make recommendations and drive implementation for product or process changes

Requirements For Product Data Scientist, Geo Abuse and Risk

Python
  • Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience
  • 3 years of experience with statistical data analysis, data mining, and querying (e.g., SQL)
  • 1 year of experience managing analytical projects

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