IP Statistics Data Scientist - ML, Dashboards & Insights

World Intellectual Property Organization – WIPO; Genf; Vor Ort; CHF 110.000 - 170.000; Vollzeit

Zusammenfassung

World Intellectual Property Organization (WIPO) in Geneva seeks a Data Scientist to advance statistical outputs and analytics for IP statistics and services. The role emphasizes ML/AI, data governance, and modern analytics platforms in a multinational environment.

The successful candidate will develop dashboards, pipelines, and reproducible models, collaborating with multiple sectors to inform policy and strategy.

Qualifikationen

• First-level university degree in statistics, mathematics, data science, computer science, economics or related discipline.
• Experience in data analytics, machine learning or related field.
• Experience with unit-record databases to generate actionable intelligence.
• Experience using statistical software (Python, R, STATA) and analytics environments.
• Experience deploying models and data pipelines in production (MLOps).
• Excellent written and spoken English; knowledge of other UN languages is a plus.

Aufgaben

• Implement and enhance internal/external statistical reporting tools.
• Build and maintain web dashboards and analytics pipelines.
• Apply advanced analytics, ML, and predictive modelling to identify drivers and opportunities.
• Perform data analysis and translate results into actionable insights for decision makers.
• Contribute to data governance, data platforms, and alpha/beta analytics features.

Kenntnisse

SQL

Statistics

Data Visualization

English proficiency

Communication

Ausbildung

Bachelor's degree in statistics, mathematics, data science, computer science, economics or related discipline

Tools

Python

R

STATA

SQL

Jobbeschreibung

World Intellectual Property Organization (WIPO) in Geneva seeks a Data Scientist to advance statistical outputs and analytics for IP statistics and services. The role emphasizes ML/AI, data governance, and modern analytics platforms in a multinational environment.

The successful candidate will develop dashboards, pipelines, and reproducible models, collaborating with multiple sectors to inform policy and strategy.