Business Data Scientist, Trust and Safety

Google Ireland Ltd; Dublin; On-site; EUR 70,000 - 90,000; Full time

Job summary

A leading technology company in Dublin seeks a data analyst focused on Trust and Safety. The role involves using data analysis and statistical techniques to manage business outcomes and enhance user trust. Candidates should have a master's degree in a quantitative field and strong experience in programming and data pipelines. Skills in building AI-based content rating systems and excellent stakeholder management are essential. Join a dynamic team aimed at protecting users across Google products.

Qualifications

• Master's degree in a quantitative discipline such as Statistics or Engineering.
• 4+ years experience in analytics and coding (e.g., Python, R, SQL).
• 6+ years experience managing business outcomes using data analysis.

Responsibilities

• Develop understanding of Trust and Safety processes and tools.
• Lead statistical design and implementation of key metrics.
• Design and implement production-level data pipelines.

Skills

Analytics

Data analysis

Statistical analysis

Python

R

SQL

Tableau

Qlik

Communication

People management

Education

Master's degree in a quantitative discipline

Tools

Databases

AI-based content rating systems

Job description

Minimum qualifications:

• Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.
• 4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.

Preferred qualifications:

• 6 years of experience in a large global business managing business outcomes using data analysis, statistical analysis, data pipelines (e.g., SQL), and dashboard solutions (e.g., Tableau, Qlik).
• 3 years of experience utilizing data science techniques to solve business issues, including using statistical modeling techniques and programming languages (e.g., Python, R) for data analysis.
• Experience in Trust and Safety, content moderation, or risk analysis.
• Experience in leading technical projects, influencing cross‑functional teams and navigating ambiguous environments.
• Excellent communication, people management, and stakeholder management skills, with the ability to translate data into clear, insights for non‑technical audiences.

About the job At Google we work hard to earn our users' trust every day. Gaining and retaining this trust is critically important to Google's success. The Trust and Safety team reduces risk and protects the experience of our users and business partners in more than 40 languages and across Google's expanding base of products. We defend Google's integrity by fighting spam, fraud and abuse, and develop and communicate product policies. We work with a variety of teams from Engineering to Legal, Public Policy and Business Engineering to set policies and combat fraud and abuse in a scalable way, often with an eye to finding industry‑wide solutions. Trust and Safety team members are motivated to find solutions, and use technical know‑how, user insights and proactive communication to pursue the highest possible quality and safety standards for users across Google products.

Responsibilities

• Develop understanding of product, Trust and Safety manual and automated processes, tools and customer expectations. Design and develop scalable measurements to support reporting needs.
• Lead the statistical design, definition, and implementation of metrics such as uncaught badness rate, creating standardized, robust, and defensible measurements applicable across products and violation areas.
• Design, implement and own technical implementation of production‑level data pipelines, documentation, check‑in process, etc.
• Build and scale AI‑based content rating systems in partnership with Engineering teams, accurately measure the efficiency gains from the same.
• Collaborate with and influence business and engineering stakeholders to ensure our data is telling the right story and is helping stakeholders make data backed decisions. Present findings and business recommendations to multiple levels of stakeholders and leadership teams.

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