Data Scientist Global Pulse New York, United States
DATA SCIENTIST
Application period: 01 August 2012 – 28 August 2012
Deadline to apply: 28 August 2012 midnight Copenhagen time (CET)
Duty Station: New York, NY, USA
Duration: Four (4) months with the possibility of extension
BACKGROUND
Global Pulse is a United Nations innovation initiative harnessing new digital data to help the public sector understand sooner how communities are coping with the impacts of global crises. To this end, Global Pulse is developing a twenty-first century approach to impact monitoring, building social software for evidence-based decision making, and establishing a network of “Pulse Labs” to mainstream the use of real-time data analysis into development policy. Pulse Labs are national facilities established to support the public sector by developing analytical and technological capacity for harnessing real-time data to strengthen social protection. The overarching objective of Global Pulse is to mainstream the use of data mining and real-time data analytics into development organizations and communities of practice.
To achieve its goals, Global Pulse is looking for a Data Scientist to work in the Global Pulse New York Lab 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. 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.
FUNCTIONAL RESPONSIBILITIES
The consultant will be asked to perform the following tasks:
· Define, design and implement research projects harnessing Big Data to improve both understanding of population behavior, needs, and vulnerabilities as well as capacity to monitor and evaluate the impacts of development polices and programmes;
· Perform data studies and data discovery around new data sources or new uses for existing data sources;
· Assist in developing new approaches to detecting events and trends within real-time data sources such as online media, social networks, imagery, geospatial data, communications logs, transaction records, etc.;
· Think strategically about uses of data and how data use interacts with data design;
· Design and implement statistical data quality procedures around new data sources;
· Implement any software required for accessing and handling data appropriately;
· Visualize and report data findings creatively in a variety of formats;
· Coordinate joint data mining research projects with diverse partners;
· Interact with the global community through a variety of media.
EXPERIENCE
· Masters 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 7 years relevant work experience may be accepted in lieu of the advanced university degree.
· Five years of progressively responsible experience in analysis or data visualization required;
· Familiarity with analytical techniques such as text mining, sentiment analysis, predictive analysis, event detection, and modeling of complex systems required;
· Experience working with quantitative and qualitative data required;
· Experience with scripting, coding, and web design required for data access, analysis, and presentation required;
· Demonstrated experience presenting work to both technical and non-technical audiences;
· Willingness to evaluate and adopt the latest advances in AI, machine learning, predictive analysis and visualization.
· Experience in a branch of computational informatics (development, health, bio-, geo-, etc), using machine learning desirable;
· Experience working in a developing country setting desirable;
· Experience working with Big Data, social network data, and geospatial data/satellite imagery desirable,
· Experience working in the fields of global development or crisis management desirable;
Experience analyzing data from social monitoring systems, monitoring and evaluation work, or other survey work in developing countries desirable.
LANGUAGES
Fluent written and oral English required. Knowledge of any other UN language an asset.
HOW TO APPLY:
Qualified candidates may submit their application through the online recruitment system, administered by UNOPS on behalf of Global Pulse. To view the full vacancy announcement and submit an application, follow this link:
https://gprs.unops.org/pages/viewvacancy/VADetails.aspx?id=929
Candidates are kindly requested to upload their current CV, resume or P-11 form and submit three (3) references. Only applications received through the UNOPS website will be considered.
Application period: 01 August 2012 – 28 August 2012
Deadline to apply: 28 August 2012 midnight Copenhagen time (CET)
Duty Station: New York, NY, USA
Duration: Four (4) months with the possibility of extension
BACKGROUND
Global Pulse is a United Nations innovation initiative harnessing new digital data to help the public sector understand sooner how communities are coping with the impacts of global crises. To this end, Global Pulse is developing a twenty-first century approach to impact monitoring, building social software for evidence-based decision making, and establishing a network of “Pulse Labs” to mainstream the use of real-time data analysis into development policy. Pulse Labs are national facilities established to support the public sector by developing analytical and technological capacity for harnessing real-time data to strengthen social protection. The overarching objective of Global Pulse is to mainstream the use of data mining and real-time data analytics into development organizations and communities of practice.
To achieve its goals, Global Pulse is looking for a Data Scientist to work in the Global Pulse New York Lab 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. 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.
FUNCTIONAL RESPONSIBILITIES
The consultant will be asked to perform the following tasks:
· Define, design and implement research projects harnessing Big Data to improve both understanding of population behavior, needs, and vulnerabilities as well as capacity to monitor and evaluate the impacts of development polices and programmes;
· Perform data studies and data discovery around new data sources or new uses for existing data sources;
· Assist in developing new approaches to detecting events and trends within real-time data sources such as online media, social networks, imagery, geospatial data, communications logs, transaction records, etc.;
· Think strategically about uses of data and how data use interacts with data design;
· Design and implement statistical data quality procedures around new data sources;
· Implement any software required for accessing and handling data appropriately;
· Visualize and report data findings creatively in a variety of formats;
· Coordinate joint data mining research projects with diverse partners;
· Interact with the global community through a variety of media.
EXPERIENCE
· Masters 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 7 years relevant work experience may be accepted in lieu of the advanced university degree.
· Five years of progressively responsible experience in analysis or data visualization required;
· Familiarity with analytical techniques such as text mining, sentiment analysis, predictive analysis, event detection, and modeling of complex systems required;
· Experience working with quantitative and qualitative data required;
· Experience with scripting, coding, and web design required for data access, analysis, and presentation required;
· Demonstrated experience presenting work to both technical and non-technical audiences;
· Willingness to evaluate and adopt the latest advances in AI, machine learning, predictive analysis and visualization.
· Experience in a branch of computational informatics (development, health, bio-, geo-, etc), using machine learning desirable;
· Experience working in a developing country setting desirable;
· Experience working with Big Data, social network data, and geospatial data/satellite imagery desirable,
· Experience working in the fields of global development or crisis management desirable;
Experience analyzing data from social monitoring systems, monitoring and evaluation work, or other survey work in developing countries desirable.
LANGUAGES
Fluent written and oral English required. Knowledge of any other UN language an asset.
HOW TO APPLY:
Qualified candidates may submit their application through the online recruitment system, administered by UNOPS on behalf of Global Pulse. To view the full vacancy announcement and submit an application, follow this link:
https://gprs.unops.org/pages/viewvacancy/VADetails.aspx?id=929
Candidates are kindly requested to upload their current CV, resume or P-11 form and submit three (3) references. Only applications received through the UNOPS website will be considered.
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