This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking an experienced Data Scientist to join our team and help advance the mission of protecting organizations from narrative threats and influence operations. In this role, you will develop and refine machine learning models that detect disinformation campaigns, analyze large-scale social media data, and uncover patterns of coordinated manipulation. You will work closely with the research, engineering, and product teams to transform complex data into actionable insights that power the Artemis platform.
Job Responsibility:
Design, develop, and deploy machine learning models for detecting disinformation, bot networks, and coordinated influence operations across social media platforms
Analyze large-scale, multi-source datasets to identify emerging narrative threats and patterns of manipulation
Build and improve NLP pipelines for content analysis, sentiment detection, and entity recognition
Collaborate with engineering teams to integrate models into production systems and ensure scalability
Partner with research analysts to translate findings into client-facing intelligence products
Stay current with the latest developments in AI/ML, particularly in NLP, graph analysis, and anomaly detection
Contribute to research publications and thought leadership on disinformation detection methodologies
Requirements:
5+ years of experience in data science, machine learning, or a related quantitative field
Strong proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
Excellent communication skills with the ability to present complex findings to technical and non-technical audiences
Deep expertise in natural language processing (NLP) and text classification techniques
Experience working with large-scale data processing tools (e.g., Spark, Hadoop, or cloud-based solutions)
Familiarity with social media data, network analysis, or graph-based methods
Strong statistical foundation and experience with experimental design
Bachelor's or advanced degree in Computer Science, Statistics, Data Science, or a related field
Nice to have:
Experience in cybersecurity, threat intelligence, or information integrity domains
Background in detecting bots, spam, or malicious online behavior
Familiarity with LLMs and generative AI, particularly for detection applications
Experience with real-time data streaming and analysis