Senior Data Scientist – Safety & Moderation

Roblox

San Mateo (CA)

Presencial

USD 274.000 - 374.000

Jornada completa

Hace 3 días
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Descripción de la vacante

Roblox is seeking a senior data scientist to advance safety, analytics, and platform insights across a global community. You will design experiments, build ground truth datasets, and measure the impact of moderation and content safety initiatives.

The role collaborates with product, engineering, policy, and legal to define robust measurement systems, apply causal inference, and scale detection pipelines. Requires 10+ years in data science or ML, strong Python/R and SQL skills, and advanced

Formación

  • 10+ years of industry experience in data science, economics, analytics, or machine learning engineering.
  • 7+ years of experience using scripting languages (Python, R) and big data tools such as SQL, Hive, Spark, and Airflow.

Responsabilidades

  • Establish and monitor prevalence measurement methodologies to quantify harmful content and behavior.
  • Develop and validate ground truth datasets for harmful UGC and violative behaviors.
  • Analyze threat landscapes and provide data-backed recommendations for resource investment.
  • Design, implement, and analyze experiments for moderation and safety features.
  • Apply causal inference to measure effectiveness and systemic impacts of safety initiatives.
  • Communicate insights to leadership and cross-functional partners with clear, actionable recommendations.
  • Collaborate with ML and Data Engineering to ensure sound measurement frameworks.

Conocimientos

Data science
Economics
Analytics
ML engineering

Educación

Advanced degree in quantitative field

Herramientas

Python
R
SQL
Hive
Spark
Airflow

Descripción del empleo

Roblox is seeking a senior data scientist to advance safety, analytics, and platform insights across a global community. You will design experiments, build ground truth datasets, and measure the impact of moderation and content safety initiatives.

The role collaborates with product, engineering, policy, and legal to define robust measurement systems, apply causal inference, and scale detection pipelines. Requires 10+ years in data science or ML, strong Python/R and SQL skills, and advanced

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