Business Data Scientist, YouTube Trust and Safety
Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Analysis
In short
YouTube's Trust & Safety team seeks a Business Data Scientist in Hyderabad to enhance safety for users and creators. This role involves leading quantitative analytics for automated content moderation, designing statistical experiments, performing root cause analysis, and partnering with engineering and product teams.
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, isolating key drivers of efficiency and steering executive decision-making with empirical data.
- Partner with Software Engineering, Data Science, Product Management, and Global Operations teams to deploy scalable metrics infrastructure, validate technical solutions, and influence product and policy roadmaps.
Requirements
- 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.
Desired 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).
#YouTube#Trust and Safety#Data Science#Analytics#Machine Learning#AI