Senior Data Scientist, Safety & Security

Requisitos

• Experience with experimental design and statistics or machine learning methods
• Experience using AI coding assistants for data analysis and other technical tasks
• Fluency in R or Python, plus common version control and command-line tools, for analysis, modeling, simulation, visualization, and reporting
• Fluency in SQL and working with large-scale data (Hive, Presto, Druid, Spark)
• Experience collaborating with product development teams in a fast-paced environment to test, analyze, and evaluate user-facing features

Desejáveis

• Prior experience in trust & safety, information security and privacy, or fraud and anti-abuse
• Exposure to and interest in ethical data management and privacy practices
• Contributions to Wikimedia projects or other open source projects
• Experience with Superset, Growthbook, or other open-source testing, data visualization, or reporting tools