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: 16-Mar-2026, 11:59:00 PM CET

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 Senior Data Scientist will lead the development and modernization of WIPO’s statistical and analytical outputs, ensuring high-quality, transparent, and internationally comparable IP statistics. The role will oversee complex analytical and digital initiatives, applying advanced analytics and AI/ML to 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 promote best practices in data governance and analytics and contribute to the Division’s strategic and digital transformation priorities.

c. Reporting Lines

The incumbent works under the supervision of 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 also involves interaction with national and regional IP offices.

2. Duties and Responsibilities

The incumbent will perform the following principal duties:

a. Design, implement and enhance internal and external statistical reporting tools, ensuring accessibility, transparency, and clarity in the interpretation of IP statistics.

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

c. Conceive, plan and undertake statistical and data science projects, applying advanced analytical techniques, including machine learning, LLMs, and predictive modeling where appropriate, with a view to identifying 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. Lead projects of analytical and organizational complexity, ensuring integration of MLOps best practices for model development, deployment, monitoring, and reproducibility, guiding them toward clear, sound, and actionable decisions.

f. Own projects end-to-end, including problem definition, metrics development, data extraction and manipulation, visualization, creation and implementation of analytical/statistical models and AI/ML solutions, and presentation of findings to stakeholders.

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

h. Promote the adoption of best practices in data management, MLOps, model governance, and analytics, ensuring 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)

Advanced university degree in statistics, mathematics, data science, economics or related discipline. A first-level university degree plus two years of relevant professional experience in addition to the required experience mentioned below may be accepted in lieu of an advanced university degree.

Experience (Essential)

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

Experience in making use and leveraging rich unit record databases to generate actionable intelligence that informs client decision making.

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

Experience applying data science and machine learning techniques to large-scale statistical databases and data platforms supporting the production and dissemination of official statistics, including advanced data preparation, validation, analysis, modeling and quality assurance.

Experience (Desirable)

Professional experience in the field of IP.

Language (Essential)

Excellent knowledge of written and spoken English.

Language (Desirable)

Good knowledge of other UN official languages.

Job Related Competencies (Essential)

Excellent knowledge of statistical and econometric software and tools (e.g. Excel, STATA, Python, R and comparable analytical environments).

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, while effectively communicating complex trends and findings in a clear and actionable manner to non-technical audiences.

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.