Business Data Scientist, YouTube Trust and Safety Location: Hyderabad, Telangana, India

Experience Level: Mid

YouTube's Trust & Safety team is dedicated to making YouTube a secure place for users, viewers, and content creators around the world. The team addresses online content concerns, navigates global legal frameworks, and enforces worldwide policy. The Trust and Safety Analytics team provides comprehensive analytics for content policy enforcement, utilizing tooling, machine learning, and hybrid human-AI review systems.

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.
- 4 years of experience using SQL to extract and manage quantitative data over distributed databases.

Preferred Qualifications:

- 7 years of experience in data analysis, data science, or a related quantitative role in Trust and Safety, abuse detection, content moderation, or large-scale operations.
- 6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.
- Expertise in statistical sampling theory, clustered experimental design (e.g., Intra-Cluster Correlation/Design Effect), variance estimation, and confidence interval modeling.
- Proficiency in SQL for complex data extraction, transformation, and query optimization.
- Advanced proficiency in a programming language commonly used in data analysis, such as Python or R (e.g., Pandas, NumPy, Statsmodels,



Scikit-Learn).

Responsibilities:

- Own, maintain, and advance statistical methodologies and sampling frameworks for system-level enforcement quality and machine learning precision monitoring across 200 production classifiers.
- Lead the quantitative analytics and data science strategy for automated content moderation, designing post-launch impact assessment frameworks and launch readiness criteria for automated policy defense systems.
- Design and execute large-scale, statistical experiments to evaluate human decision-making under varying operational conditions, modeling rater behavior to optimize review queue architecture and workforce routing.
- Formulate and execute rigorous multivariate Root Cause Analysis (RCA) and causal inference frameworks to resolve complex operational anomalies.
- Partner with Software Engineering, Data Science, Product Management, and Global Operations teams to deploy scalable metrics infrastructure and validate technical solutions.

Additional Information:

- Information collected as part of your Google Careers profile and job applications is subject to Google's Applicant and Candidate Privacy Policy.
- Google is an equal opportunity and affirmative action employer.

Locations:

- YouTube, Hyderabad, Telangana, India

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📌 Business Data Scientist, YouTube Trust and Safety (India)
🏢 Google
📍 India