Research Scientist

Description

• Examine use cases of online trust and safety technologies, translating research findings into actionable insights that contribute to content moderation strategies, policy updates, and/or product design.
• Study innovative data sources and computational tools, develop models and metrics to detect and assess risks (e.g., coordinated inauthentic behaviour, abuse patterns, bot activity).
• Conduct quantitative and mixed-methods research to understand harmful behaviours (e.g., misinformation, hate speech, harassment, manipulation, etc.) and their spread on digital platforms.
• Collaborate with data scientists, policy experts, engineers, and product managers to inform and evaluate safety-related decisions.
• Stay current on academic and industry trends in trust and safety, online behaviour, and computational social science.

Qualifications

• A PhD degree in Computational Social Science / Societal Computing / Human Computer Interaction / Sociology / Political Science / Psychology / Economics, or related field with a strong quantitative component.
• Proficiency in data analysis using tools such as Python, R, SQL, or similar.
• Experience working with large-scale datasets, social network analysis, or NLP for social media data.
• Demonstrated ability to conduct independent research and publish or present findings.
• Strong understanding of causal inference, experimental design, and statistical modelling.
• Ability to communicate complex findings to non-technical stakeholders.
• Prior experience in trust and safety research is preferred.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Candidates with no experience may apply.