Establish and monitor robust prevalence measurement methodologies to quantify harmful content and behavior and serve as the authoritative source of truth for safety goals.
Develop and validate ground truth datasets for harmful user-generated content (UGC) and violative on-platform behaviors, ensuring alignment with platform policies.
Conduct exploratory analyses of current and emerging threat landscapes to inform where to invest detection and moderation resources.
Design, implement, and analyze experiments for new moderation and safety enforcement features, collaborating with Product and Engineering and aligning with Policy, Compliance, and Legal.
Apply advanced causal inference to measure effectiveness and potential systemic impacts of safety initiatives on user experience and platform integrity.

Jobs at Roblox

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About the role

Roblox is seeking a Principal Data Scientist, Safety to lead data-driven safety initiatives and guide decisions on content moderation across the platform.

Responsibilities

What you have:

Establish and monitor robust prevalence measurement methodologies to quantify harmful content and behavior and serve as the authoritative source of truth for safety goals.
Develop and validate ground truth datasets for harmful user-generated content (UGC) and violative on-platform behaviors, ensuring alignment with platform policies.
Conduct exploratory analyses of current and emerging threat landscapes to inform where to invest detection and moderation resources.
Design, implement, and analyze experiments for new moderation and safety enforcement features, collaborating with Product and Engineering and aligning with Policy, Compliance, and Legal.
Apply advanced causal inference to measure effectiveness and potential systemic impacts of safety initiatives on user experience and platform integrity.
Communicate strategic insights and recommendations to leadership and cross-functional partners.
Partner with ML and Data Engineering teams to ensure models, reporting, and detection systems are built on sound ground-truth and measurement frameworks.
10+ years of industry experience in data science, analytics, or machine learning engineering
7+ years of experience using Python or R, and big data tools such as SQL, Hive, Spark, and Airflow
Knowledge of ML and Deep Learning through formal training or industry experience
Experience building large-scale safety or moderation sys

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Key requirements

Establish and monitor robust prevalence measurement methodologies to quantify harmful content and behavior and serve as the authoritative source of truth for safety goals.
Develop and validate ground truth datasets for harmful user-generated content (UGC) and violative on-platform behaviors, ensuring alignment with platform policies.
Conduct exploratory analyses of current and emerging threat landscapes to inform where to invest detection and moderation resources.
Design, implement, and analyze experiments for new moderation and safety enforcement features, collaborating with Product and Engineering and aligning with Policy, Compliance, and Legal.
Apply advanced causal inference to measure effectiveness and potential systemic impacts of safety initiatives on user experience and platform integrity.