Back Senior Data Scientist, P4, Copenhagen

Organizational Setting and Work Relationships

The UNHCR Data Transformation Strategy 2020-2025 envisions that by 2025 UNHCR becomes a trusted leader on data and information related to refugees and other persons of concern, thereby enabling actions to protect and to empower persons of concern. The Strategy stipulates investing in four complementary priority areas: data management and governance; information systems; capacities and skill development; and culture for evidence-informed decision-making. The strategy envisages data and information management functions in UNHCR are carried out in a complementary and inter-linked manner between Headquarters Divisions and Services, Regional Bureaux, country operations and key external partners, including persons of concern.
UNHCR statistics are considered a global public good benefitting society as a whole and UNHCR¿s populations of concern in particular. These statistics provide valuable information for a variety of stakeholders ranging from governments, donors, partners, international agencies to analysts, researchers, public bodies and civil society, among others. They enable increased accountability, transparency and evidence-based policy debate. High quality statistics, analysis and technical advice support UNHCR and its partners to formulate and implement improved policies, programmes and decisions, and to allow their effective monitoring and evaluation.
UNHCR¿s Statistics and Demographics Section is the global reference for the agency¿s public facing displacement statistics, serves as interlocutor with national and international statistical bodies and collaborates closely with the UNHCR-World Bank Joint Data Center on analytical and methodological aspects. The Section defines business requirements, statistical policies and best practices in population data aggregation and triangulation practices in close collaboration with respective Sections in the Global Data Service.
As a member of the Statistics and Demographics Section, the Senior Data Scientist will employ big data and data science techniques to develop a range of solutions benefiting UNHCR¿s population of concern. S/he will serve as the main liaison to the UNHCR-World Bank Joint Data Center and support joint efforts such as the expansion of UNHCR¿s Microdata Library and will take a lead role in the area of predictive analytics. S/he is expected to utilize the Dataport, a centralized repository for curated registration and case management data to the fullest extent to ensure data quality and analytical approaches are in line with international statistical standards. The incumbent will explore and subsequently apply statistical modelling techniques to project global forced displacement in the short-, mid- and long-term.
The Senior Data Scientist reports to the Chief Statistician, within the Global Data Service. S/he will directly supervise staff at the Professional and General Service category.

All UNHCR staff members are accountable to perform their duties as reflected in their job description. They do so within their delegated authorities, in line with the regulatory framework of UNHCR which includes the UN Charter, UN Staff Regulations and Rules, UNHCR Policies and Administrative Instructions as well as relevant accountability frameworks. In addition, staff members are required to discharge their responsibilities in a manner consistent with the core, functional, cross-functional and managerial competencies and UNHCR¿s core values of professionalism, integrity and respect for diversity.

Duties

• Apply data science techniques to global forced displacement and statelessness situations.
• Prepare concept papers, background analyses, and briefings to build support for the use of data analytics and data science techniques throughout UNHCR, in collaboration with relevant Services and Divisions.
• Provide consultation and guidance to non-technical audiences and develop and implement guidance on integrating advanced data and analysis in routine decision-making processes.
• Facilitate discussion among key stakeholders to articulate a vision and plan for integrating data science into planning, delivering, and assessing programmes.
• Conduct trainings to improve technical and research skills of headquarters and field staff in the area of data science and/or advanced statistical analysis, in collaboration with the Global Learning and Development Centre.
• Support UNHCR¿s Registration and Identity Management and Population Registration and Identity Management Ecosystem (PRIMES) teams to implement related activities and to ensure effective collaboration with the UNHCR-World Bank Joint Data Center.
• Contribute to research on alternative data sources on global forced displacement and statelessness situations.
• Together with the relevant technical teams at UNHCR contribute to a strategy for utilization of UNHCR¿s Dataport for UNHCR registration and case management data and support the definition and enhancement of key indicators for reporting and planning purposes.
• Facilitate open access to anonymized forced displacement data while addressing protection and privacy concerns over microdata managed by UNHCR.
• Together with the Joint Data Center, design the Research and Development strategy for the PRIMES team including exploring and leading new work on big data analytics and set the direction for the use of analyzing new digital data sources for integration into UNHCR research and development.
• Lead the monthly refugee estimates project using a combination of data sources, including statistical models to establish high frequency refugee estimates at national, regional and global level.
• Promote a knowledge sharing and learning culture.
• Support the development and enhancement of UNHCR data systems interoperability and systematic adoption by providing advice on data science techniques.
• Support the dialogue across UNHCR in collaboration with the appropriate colleagues for improvement of inter-operability and responsible access to corporate systems (e.g. MSRP, proGres).
• Provide capacity development support across UNHCR related to strengthening data collection and analysis procedures and techniques, as well as quality assurance and clean-up of registration and case management data.
• Contribute to, and/or lead the delivery of high-profile analytical products, in consultation with the relevant operational teams, including field operations.
• Represent UNHCR in technical meetings and other events as required i.e.: workshops, conferences, etc.
• Perform other related duties as required.

Minimum Qualifications
Education & Professional Work Experience
Years of Experience / Degree Level
For P4/NOD - 9 years relevant experience with Undergraduate degree; or 8 years relevant experience with Graduate degree; or 7 years relevant experience with Doctorate degree

Field(s) of Education
Mathematics Statistics Economics Computer Science
Public Policy Demography Engineering
or other relevant field with a focus on data science.
(Field(s) of Education marked with an asterisk* are essential)

Certificates and/or Licenses
UNHCR ODM Module 7 Registration
HCR Operational Data Management Learning Programme
Information Management
(Certificates and Licenses marked with an asterisk* are essential)

Relevant Job Experience
Essential

• Strong quantitative background; experience in data collection, management, cleaning, processing, and applied analysis using one or more of these statistical software or programming languages (Python, Stata, SAS, R, SPSS, MATLAB, Tableau, PowerBI)
• Strategic sense and demonstrated experience in ensuring the operational relevance of analytical and/or research work.
• Solid understanding of forced displacement-related issues.
• Drive, proven sense of initiative, results orientation, flexibility, leadership qualities, as well as effective teamwork skills.
• Experience in a branch of computational informatics (development, health, bio-, geo-, etc.) using machine learning.
• Experience working with Big Data, social network data, and/or geospatial data/satellite imagery.
• Experience writing technical reports.
• Demonstrated experience presenting work to both technical and non-technical audiences.
• Willingness to experiment in data innovation and big data and push the boundaries in applying technical skills for development and humanitarian action.
• Ability to work flexibly, creatively and to multitask as the need arises.
• A high degree of self-motivation, positive attitude and drive.

Desirable

• Experience in process re-engineering (process redesign, process transformation, or change management). Experience with data sharing, data management, and data analysis. Experience with UNHCR¿s corporate applications and operational data. Demonstrated understanding of civil registration and other national population registration systems. Knowledge of UNHCR and interagency policies, standards, programmes and operations.

Functional Skills
MG-Leadership
PR-Experience in Forced Displacement situations
DM-Data collection methodologies
MS-Data Collection and Analysis
DM-Data Interoperability
DM-Data science methodologies
DM-Qualitative data analysis
DM-Quantitative data analysis
IT-Computer Literacy
DM-Data Management
DM-Population census and econometrics
(Functional Skills marked with an asterisk* are essential)