Data and Knowledge Scientist

The Organisation for Economic Co-operation and Development (OECD) is an international organisation located in Paris, comprised of 38 member countries, that works to build better policies for better lives. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.

Within the Executive Directorate, the Human Resource Management (EXD/HRM) Service is responsible for delivering policies to attract, engage, develop and retain the best talent for the OECD. The Talent Management and Analytics Group (TMA) is a division of EXD/HRM. TMA develops, implements and supports a variety of human capital projects for the Organisation’s workforce. The division ensures that business processes and tools are up-to-scratch and provides data-driven solutions to help build diverse, inclusive and effective teams. TMA also manages the OECD’s learning and development initiatives and runs several programmes aimed at ensuring the OECD attracts outstanding talent from interns right up to senior managers.

TMA is looking for a Data and Knowledge Scientist to integrate and transform disparate information systems and data into quality people analytics solutions. The Data and Knowledge Scientist will have an in depth- understanding of business and human capital challenges and will apply analysis techniques to support the development of talent insights. Working under the supervision of the Analytics and Organisational Development (OD) Advisor, the Data and Knowledge Scientist should demonstrate a thorough understanding and interpretation of business needs, address business needs with a research-thinking mindset and should have excellent collaborative skills.

Main Responsibilities

Research and Analysis\:

• Works with internal stakeholders to understand business requirements, and leverage existing or develop new data models to deliver on those needs.
• Actively contributes to the development of structured/unstructured data collection methodologies and related data structures to unify and process data consistently from a large variety of sources.
• Applies state-of-the-art data processes and techniques to transform existing and disparate data repositories (including performing data wrangling and cleaning operations as relevant).
• Leverages internal and external data sets to perform research and develop analytical models in response to business challenges and needs.
• Contributes to develop and implement intuitive people analytics services (including development of related data management flows and processes to introduce predictive analytics for talent management).
• Provides guidance in sharing technical insights to non-technical audiences and enabling team members to derive insights and recommendations of the analyses so as to support TMA’s consultancy work and facilitate decision-making in TMA related areas of work (Diversity, Performance management, Outreach, OD etc.).

Advanced People Analytics\:

• Extract structured and unstructured data from relevant sources (jobs, employees profile, training materials) to develop and train new analytical models.
• Works closely with in-house experts to design and develop skills taxonomies and ontologies to support user cases and recommendations for business users (HR professionals) and end users (staff) in the areas of talent & career management.
• Contributes to the development of a foundational and scalable graph data base to represent the OECD’s skills and knowledge domains; works closely with colleagues from the Digital Knowledge and Innovation service in order to define and improve ontology governance and update processes.
• Continuously improves data processing methods and techniques to enhance in-house analytical capabilities.
• Documents reusable, scalable code to automate workflows and data processes.

Ideal Candidate Profile

Academic Background

• A Masters in data science, data engineering, business analytics, statistics, economics, social sciences and technology.

Professional Background

• Minimum of 3 years equivalent related work experience or Bachelors with 4-5 years equivalent related work experience.
• Sound knowledge of advanced statistical and data analysis methodologies and processes (designing data collection processes, cleaning large and complex data sets, building models, performing various analysis and visualizing outputs).
• Expertise in Natural Language Processing (NLP), including experience with data wrangling, text mining, entity extraction, topic modeling techniques and knowledge of relevant libraries (e.g. scikit-learn, pandas).
• Understanding of data / information modelling, knowledge representation and ontology engineering.
• Understanding of relational models and graph storage models.
• Strong communication skills with the ability to articulate and present conceptualized approaches and key findings with high impact, including to non-expert audiences.

Tools

• Proficiency in query and programming languages. Skills in programming with R / Python would be an asset.
• Operational experience with information-rich data sources (developing vocabularies and standards, taxonomies, ontologies) using relevant tools (e.g. Protégé).
• Familiarity with semantic technologies and languages (SPARQL, RDF, OWL, R2RML).
• First-hand experience with graph visualization and analysis tools is an asset.

Core Competencies

• For this role, the following competencies would be particularly important\: Analytical thinking, Drafting skills, Achievement focus, Teamwork, Influencing, Client focus.
• Please refer to the level 3 indicators of the OECD Core Competencies.

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level.
• Knowledge of other languages would be an asset.

Contract Duration

• Two-years fixed term appointment, with the possibility of renewal.

What the OECD offers

• Monthly base salary starting from 4850 EUR, plus allowances based on eligibility, exempt of French income tax.
• Click here to learn more about what we offer and why the OECD is a great place to work.
• Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.

Please note that the appointment may be made at a lower grade based on the qualifications and professional experience of the selected applicant.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates who are nationals of OECD member countries, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.

The Executive Directorate (EXD) supports the Organisation in the following areas\: financial management, human resource management, information technology, internal communications, conference management, security (both physical and digital), translation and interpretation, risk management, and crisis management. Within the Executive Directorate, the Human Resource Management Service (EXD/HRM) develops and implements policies, programmes and services which support the Organisation’s evolving staffing needs.