Data Scientist
Organizational Context
The Statistics and Data Analytics Division provides global IP system statistics and data analytics services supporting WIPO's research, transformation, and administrative functions. This role is within the Department for Economics and Data Analytics, IP and Innovation Ecosystems Sector, focusing on enhancing statistical and analytical outputs for Member States and senior management.
Job Purpose
The Data Scientist will modernize WIPO’s statistical and analytical outputs, ensuring high-quality, transparent, and internationally comparable IP statistics. This role supports digital initiatives by applying advanced analytics and AI/ML to generate actionable insights for Member States and senior management, particularly to increase the use of WIPO’s global IP systems. The position also promotes best practices in data governance and analytics, contributing to the Division’s strategic and digital transformation priorities.
Responsibilities
Implement and enhance statistical reporting tools, ensuring accessibility and clarity. Build and maintain web-based dashboards, data access platforms, and analytics pipelines. Conduct analytical workstreams using advanced techniques like machine learning and predictive modeling to identify opportunities for WIPO service uptake. Perform data analysis using tools such as SQL, R, and Python, translating findings into actionable insights for decision-making. Apply MLOps best practices for model development, deployment, and monitoring. Support projects throughout their lifecycle, from problem definition to presenting findings. Contribute to the development of statistical databases and platforms, ensuring secure storage and efficient retrieval. Promote best practices in data management, MLOps, and model governance. Enhance internal systems and public-facing products with AI-driven features. Contribute to strategic initiatives related to data integration and digital transformation.
Work Experience
At least six years of professional experience in data analytics, data science, or machine learning. Experience using unit record databases for actionable intelligence, statistical software (SQL, R, Python), and applying data science techniques to large databases is essential. Experience in IP is desirable.
Skills
Proficiency in data science and advanced analytical methods, including machine learning. Strong quantitative analytical and problem-solving skills for interpreting complex datasets. Ability to communicate complex findings clearly to non-expert audiences. Organizational and project management skills for independent task management and ensuring data quality. Ability to work independently and collaboratively. Excellent communication and interpersonal skills for multicultural environments. Knowledge of intellectual property is desirable.