Relief Services is the official international humanitarian agency
of the Catholic community in the United States. CRS works to save,
protect, and transform lives in need in more than 100 countries,
without regard to race, religion or nationality. CRS’ relief and
development work is accomplished through programs of emergency
response, HIV, health, agriculture, education, microfinance and
capacity in our team to: run advanced analytics processes
including machine learning. automating analytics processes,
database architecture, and simplifying processes.
test and implement system changes to formulas and sheets.
service: identify ways we can build efficiencies and automate or
offload processes in data or system issues.
publicly available data sources and their fitness for use.
data that will be collected via mobile devices and identify the
best approach to visualize it using ArcGIS suite of tools and/or
machine learning in spatial analysis workflows and satellite
the teams capacity on spatial analysis, including;
object-oriented classification, remote sensing, interpolation,
and prediction, with the possibility of 3D modeling.
the opportunities that GIS offers to CRS and contribute to the
evolution and implementation of the agency’s GIS roadmap.
geospatial technology into enterprise systems (examples include
SalesForce and ERP) and define common processes for GIS
degree in data science, Geographic Information Systems related
field or equivalent experience.
Analytics Professional (CAP), or Data Science Council of America
(DASCA) Principle Data Scientist (PDS) or higher, or Open
Certified Data Scientist (Open CDS) preferred.
ArcGIS Desktop Certification (10.1 or higher; Associate or
with UML 2.0 highly preferred.
Foundation Certification desired.
to code in R and Python preferred.
more information please check the Link