World Intellectual Property Organization – WIPO

Statistics and Data Analytics Division, Department for Economics and Data Analytics, IP and Innovation Ecosystems Sector

 

Contract Duration - 1 year

Duty Station: CH-Geneva

 

Application Deadline: 21-Sep-2026, 11:59:00 PM CEST

 

1\. Organizational Context

 

a. Organizational Setting

 

The post is in the Statistics and Data Analytics Division of the Department for Economics and Data Analytics (DEDA), IP and Innovation Ecosystems Sector. This Division is responsible for providing accurate, comprehensive and timely statistical information on the performance of the intellectual property (IP) system worldwide; and a variety of data analytics services that support research, business transformation, operational and administrative functions within WIPO.

 

b. Purpose Statement

 

The Data Scientist will contribute to the development and modernization of WIPO’s statistical and analytical outputs, supporting the delivery of high-quality, transparent, and internationally comparable IP statistics. The role will support analytical and digital initiatives, applying advanced analytics and AI/ML to help deliver actionable insights for Member States and senior management, with special focus on insights to inform strategies aimed at increasing the use of WIPO’s global IP systems. This position will also help promote best practices in data governance and analytics and support the Division’s strategic and digital transformation priorities.

 

c. Reporting Lines

 

The incumbent reports to the Director of Statistics.

 

d. Work Relations

 

The incumbent works in close cooperation with colleagues within the IP and Innovation Ecosystems Sector and other WIPO sectors, in particular with PCT, Madrid and Hague registries, as well as with internal stakeholders involved in data production, IT systems, digital platforms and policy analysis. The role may also involve interaction with national and regional IP offices.

 

2\. Duties and Responsibilities

 

The incumbent will perform the following principal duties:

 

a. Implement and enhance internal and external statistical reporting tools in line with the Division's standards, ensuring accessibility, transparency, and clarity in the interpretation of IP statistics.

 

b. Build and maintain assigned web-based dashboards, data access platforms, and analytics pipelines, in collaboration with relevant WIPO sectors, to support monitoring, analysis and decision-making related to system usage and growth.

 

c. Carry out defined analytical workstreams within statistical and data science projects, applying advanced analytical techniques, including machine learning, LLMs, and predictive modeling where appropriate, to help identify drivers, barriers and opportunities for increased uptake of WIPO services.

 

d. Perform data analysis using relevant tools (e.g., SQL, R, Python) and translate results into actionable insights for Member States and senior management, including insights to inform policy, operational and growth-related decisions.

 

e. Apply MLOps best practices for model development, deployment, monitoring, and reproducibility.

 

f. Support projects across their lifecycle, including problem definition, metrics development, data extraction and manipulation, visualization, creation of analytical/statistical models and AI/ML solutions, and presentation of findings to stakeholders.

 

g. Contribute to the development and modernization of statistical databases, data platforms, and analytics pipelines, ensuring secure storage, efficient retrieval, and accurate analysis.

 

h. Apply and promote best practices in data management, MLOps, model governance, and analytics, supporting international comparability and high standards of IP statistical reporting.

 

i. Contribute to the continuous improvement of internal systems and public-facing web products, enhancing usability and reliability of statistical information, including integration of AI-driven features where relevant.

 

j. Contribute to the strategic and operational activities of the Division, including cross-sectional initiatives related to data integration, analytics platforms, innovation and digital transformation.

 

k. Perform other related duties as required.

 

3\. Requirements

 

Education (Essential)

First-level university degree in statistics, mathematics, data science, computer science, economics or related discipline.

 

Experience (Essential)

At least six years of progressively responsible professional experience in the fields of data analytics, data science, machine learning or a related field.

 

Experience making use of unit record databases to generate actionable intelligence that informs client decision making.

 

Experience using statistical and econometric software and tools (e.g. STATA, Python, R and comparable analytical environments).

 

Experience applying data science and machine learning techniques to large-scale statistical databases and data platforms.

 

Experience in advanced data preparation, validation, analysis, modelling and quality assurance.

 

Experience (Desirable)

Professional experience in the field of IP.

 

Experience deploying and maintaining analytical models and data pipelines in production environments, including version control, monitoring and reproducibility practices (MLOps).

 

Language (Essential)

Excellent knowledge of written and spoken English.

 

Language (Desirable)

Good knowledge of other UN official languages.

 

Job Related Competencies (Essential)

Good knowledge of data science and advanced analytical methods, including the application of machine learning techniques where appropriate, to support statistical analysis, trend analysis and forecasting.

 

Excellent quantitative analytical and problem-solving skills, with the ability to interpret complex datasets and produce accurate, well-structured statistical outputs.

 

Ability to understand and respond to client needs, uncover underlying reasons and trends using the available data, while effectively communicating complex findings in a clear and actionable manner to non-expert audiences to support informed decision making and drive business impact.

 

Strong organizational, project and change management skills in a cross functional setting, with the ability to plan and manage assigned tasks independently, meet deadlines and ensure high standards of data quality and consistency.

 

Ability to work effectively on own initiative and as a member of a team.

 

Excellent communication and interpersonal skills, with the ability to establish and maintain effective working relationships in a multicultural environment, demonstrating sensitivity to and respect for diversity.

 

Job Related Competencies (Desirable)

Good knowledge of intellectual property.

 

4\. Organizational Competencies

 

1\. Communicating effectively.

2\. Showing team spirit.

3\. Demonstrating integrity.

4\. Valuing diversity.

5\. Producing results.

6\. Showing service orientation.

7\. Seeing the big picture.

8\. Seeking change and innovation.

9\. Developing yourself and others.

 

_For more information, including on the salaries and benefits, please check the WIPO Careers website._

Data

Data Science

Machine Learning

Data analytics

Database

Support

Analysis

Python

Project management

Statistics

Innovation

Software Development

Version control

Security software

Functional Programming

Team collaboration

Growth

Mathematics

Data Pipelines

Research

System security

Forecasting

Data governance

Web Development

Data Integration

Communications

Content management

MLOps

Statistical Analysis

Data Visualization

Predictive modeling

Data Management

Econometrics

Data Engineering

Statistical model

Data wrangling

Data Validation

Data Scientist - 26261-TA