- UNDP around the world
Many of UNDP's relationships with countries and territories on the ground exceed 60 years. Find details on our successes and ongoing work.
- Bosnia and Herzegovina
- Burkina Faso
- Cape Verde
- Central African Republic
- Congo (Dem. Republic of)
- Congo (Republic of)
- Costa Rica
- Côte d'Ivoire
- Democratic People's Republic of Korea
- Denmark (Rep. Office)
- Dominican Republic
- E.U (Rep. Office)
- El Salvador
- Equatorial Guinea
- Fiji (Multi-country Office)
- Finland (Rep. Office)
- Geneva (Rep. Office)
- Iraq (Republic of)
- Kosovo (as per UNSCR 1244)
- Lao PDR
- Mauritius & Seychelles
- Norway (Rep. Office)
- Papua New Guinea
- Programme of Assistance to the Palestinian People
- Russian Federation
- Samoa (Multi-country Office)
- São Tomé and Principe
- Saudi Arabia
- Sierra Leone
- South Africa
- South Sudan
- Sri Lanka
- Sweden (Rep. Office)
- The former Yugoslav Republic of Macedonia
- Tokyo (Rep. Office)
- Trinidad and Tobago
- United Arab Emirates
- About Us
- News Centre
Consultancy-Big Data Research Scientist
|Location :||Abuja, NIGERIA|
|Application Deadline :||23-Mar-20 (Midnight New York, USA)|
|Additional Category :||Democratic Governance and Peacebuilding|
|Type of Contract :||Individual Contract|
|Post Level :||International Consultant|
|Languages Required :||English|
|Starting Date :|
(date when the selected candidate is expected to start)
|Duration of Initial Contract :||6 months (with possibility of extension)|
|Expected Duration of Assignment :||6 months (with possibility of extension)|
UNDP is committed to achieving workforce diversity in terms of gender, nationality and culture. Individuals from minority groups, indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidence.
UNDP does not tolerate sexual exploitation and abuse, any kind of harassment, including sexual harassment, and discrimination. All selected candidates will, therefore, undergo rigorous reference and background checks.
UNDP Nigeria has established a Knowledge Hub to enhance its ability to make timely and evidence-based interventions, particularly in areas of Preventing and Responding to Violent Extremism, conflict prevention and human security. A new type of ‘development intelligence gathering’, i.e. continuous monitoring and data collection, is crucial to inform UNDP’s work for early warning, adjust interventions to maximize preventive efforts and initiate new thematic approaches. Trend analyses and ad-hoc policy briefs will also inform interventions of UNDP’s development partners in this field. Through harnessing the potential offered by both old and new sources of data, it is UNDP’s hope that the accuracy and precision of its development responses are increased and a strong foundation for meaningful public policy making, efficient resource allocation and effective public service delivery is created. The ultimate objective of the Knowledge Hub is to harness data, including real time data, for development through providing evidence-based intelligence that can be translated to meaningful policies and planning for development impact.
Reporting to the UNDP Nigeria RR’s Office, the Knowledge Hub will consist of three complementary Units that work in mutual complementarity, cross-pollination and strong collaboration, which is required because of the highly specialized individual expertise in each of the units.
Part of the strategy of the Knowledge Hub includes the use of digital real-time data analytics and data mining to strengthen human security, improve provision of services and support the development of
sustainable cities and communities. To achieve this goals, UNDP Nigeria is looking for a Data Scientist to apply data mining techniques (anomaly detection, association learning, cluster detection, classification, and predictive modeling) to create actionable insights from a broad range of structured and unstructured data that is growing rapidly in scale.
This recruitment is for a Data Scientist that will be part of Data Analysis Unit within the Knowledge Hub. The Data Scientist will be responsible for the acquisition, analysis and visualization of data from a variety of sources in order to i) help understand emerging human vulnerabilities to socio-economic shocks, ii) detect and highlight patterns that could indicate how people are coping with emerging hardship, and iii) gather evidence of changes in behavior and perception correlated with public sector policies and programmes.
Duties and Responsibilities
Under the direct supervision of the Knowledge Hub Coordinator, the Data Scientist will:
Impact of Results
The key results have an impact on creation a development intelligence gathering whereby the continuous monitoring collection of real time data and its subsequent analysis contributes towards improved and evidence-based interventions that can improve the lives of the people UNDP Nigeria serves. One particular key result will be the development of an early warning model in the area of public health surveillance using mobile technology. Through the use of twenty-first century approach to impact monitoring, building social software for evidence-based decision making, and identifying new areas of effective and innovative ways of intervention and monitoring, the key results will have an impact towards contributing to new, efficient and innovative ways for UNDP to deliver on its mandate as well as its contribution towards operationalisation of the SDGs. These key results will also allow the Hub to sustain visibility among both domestic and international audiences as well as a thought leader at the time reaching resource mobilisation targets.
Required Skills and Experience
Master's degree in statistics, applied mathematics, physics, computational finance, economics, computer science, engineering or other related technical disciplines. A first level university degree with at least 5 years relevant work experience may be accepted in lieu of the advanced university degree.
Fluent written and oral English required. Knowledge of another UN language an asset.
VII. Evaluation Criteria