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Standard Job Description
Associate Data Scientist
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 that protect include and empower. 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 Associate Data Scientist will apply innovative methods (e.g. machine learning / AI data mining remote sensing topic extraction predictive analytics etc.) and explore the use of innovative data sources (e.g. big data geospatial data and imagery etc.) to improve the production analysis and dissemination of data in global forced displacement and statelessness situations. In these areas the incumbent will oversee and implement research and analytics recommend and facilitate enhancements to data systems and processes provide training and capacity building and represent the organization at the technical level in relevant fora. The Associate Data Scientist will thereby play a crucial role in helping UNHCR harness the power and potential of these innovative techniques and data sources achieve the vision of the Data Transformation Strategy and further enhance its ability to save lives protect rights and build a better future for refugees forcibly displaced communities and stateless people.
The Associate Data Scientist reports to a senior staff member in the Division/Bureau or to the Senior Data Scientist in the Global Data Service. The incumbent will work closely with relevant colleagues in delivering the expected outcomes for the concerned entity. The incumbent will also liaise with external partners and stakeholders as/when required. S/he may directly supervise staff at the 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 UNHCRs core values of professionalism integrity and respect for diversity.
Duties
- Apply data science techniques to global forced displacement and statelessness situations to improve both understanding of population behaviour needs and vulnerabilities as well as capacity to monitor and evaluate the impact of UNHCR policies and programmes.
- Draft concept papers prepare 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.
- Promote a knowledge sharing and learning culture. 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.
- Contribute to the research on the use of alternative data sources to produce data on global forced displacement and statelessness situations.
- Facilitate open access to anonymized forced displacement data while addressing protection and privacy concerns over microdata managed by UNHCR.
- Advance analytical techniques and data quality assurance approaches in UNHCR bringing them in line with international statistical standards and analytical best practices.
- Apply predictive analytics techniques to produce population statistics.
- Contribute to the visualisation and reporting of data findings creatively in a variety of formats.
- 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
- Contribute to the delivery of high-profile analytical products in consultation with the relevant operational teams including field operations.
- Support the identification and management of risks and seek to seize opportunities impacting objectives in the area of responsibility. Ensure decision making in risk based in the functional area of work. Raise risks issues and concerns to a supervisor or to relevant functional colleague(s).
- Perform other related duties as required.
Minimum Qualifications
Years of Experience / Degree Level
For P2/NOB - 3 years relevant experience with Undergraduate degree; or 2 years relevant experience with Graduate degree; or 1 year relevant experience with Doctorate degree
Field(s) of Education
Applied Mathematics Statistics Economics
Computer Science Public Policy Demography
Geography Engineering Quantitative Social Sciences
or other relevant field with a focus on data science.
Certificates and/or Licenses
UNHCR ODM Module 7 Registration Module 8 and Module 5
HCR Operational Data Management Learning Programme
Information Management Evaluation Training
(Certificates and Licenses marked with an asterisk* are essential)
Relevant Job Experience
Essential
Strong quantitative background in statistics economics mathematical or computer science modelling or similar; experience in data collection management cleaning processing and applied analysis using statistical software or computer/programming languages such as Python Stata SAS R SPSS MATLAB SQL etc. 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 working with Big Data and/or Statistical Learning methods. Experience writing technical reports. 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 anonymization statistical disclosure control data management and data analysis. Experience with data visualization tools such as Power BI and Tableau. Experience with UNHCRs 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
DM-Data Collection and Analysis
DM-Data collection methodologies
DM-Data Interoperability
DM-Data Management
DM-Data science methodologies
DM-Population census and econometrics
DM-Qualitative data analysis
DM-Quantitative data analysis
IT-Computer Literacy
PR-Coordination in Forced Displacement situations
(Functional Skills marked with an asterisk* are essential)
Language Requirements
For International Professional and Field Service jobs: Knowledge of English and UN working language of the duty station if not English.
For National Professional jobs: Knowledge of English and UN working language of the duty station if not English and local language.
For General Service jobs: Knowledge of English and/or UN working language of the duty station if not English.
All UNHCR workforce members must individually and collectively contribute towards a working environment where each person feels safe and empowered to perform their duties. This includes by demonstrating no tolerance for sexual exploitation and abuse harassment including sexual harassment sexism gender inequality discrimination and abuse of power.
As individuals and as managers all must be proactive in preventing and responding to inappropriate conduct support ongoing dialogue on these matters and speaking up and seeking guidance and support from relevant UNHCR resources when these issues arise.
This is a Standard Job Description for all UNHCR jobs with this job title and grade level. The Operational Context may contain additional essential and/or desirable qualifications relating to the specific operation and/or position. Any such requirements are incorporated by reference in this Job Description and will be considered for the screening shortlisting and selection of candidates.
Desired Candidate Profile
Required languages (expected Overall ability is at least B2 level):
Desired languages
Operational context
Occupational Safety and Health Considerations:
To view occupational safety and health considerations for this duty station please visit this link:
Required Experience:
IC
Full-Time