The Economic Research and Regional Cooperation Department (ERCD) has developed the ‘Using Frontier 
Technology and Big Data Analytics for Smart Infrastructure Facility Planning and Monitoring’ technical 
assistance (TA) project that aims to, among others, demonstrate and evaluate how to use high-level 
technologies to effectively plan high quality infrastructure investments, particularly transport 
infrastructure. In particular, the project will conduct a feasibility study on the use of innovative 
technologies and data sources for enhanced monitoring of infrastructure quality. 

In view of this, the main objective of the assignment is for a data scientist who will lead in the 
geospatial analysis of road quality monitoring using innovative data sources.

This position requires extensive skills and experience in developing machine learning algorithms and 
geospatial analysis. The consultant may also work with SQL databases and programming languages like 
Java, Javascript, Stata, R, and Python, hence, having work experience in such programming languages / 
platforms is ideal. 
He/She is also expected to analyze the use of household surveys and other microdata, geospatial data, as 
well as mobility data. 

He/She will also be requested to assist in the preparation of reports and presentation materials 
including tables and charts for workshops/conferences. Under the supervision of the ADB project officer, 
the consultant will work closely with the ADB project team, specifically 
performing specific tasks as assigned/discussed.

(i)	Lead the geospatial/GIS related tasks of the project;
(ii)	Provide technical assistance to international consultant/s in acquiring/processing the data 
required to develop or apply relevant machine learning algorithms and econometric models for enhanced 
compilation of transport infrastructure quality metrics and other socioeconomic indicators;
(iii)	Provide technical support in applying machine learning algorithm on data collected from 
participating DMC/s;
(iv)	Collect and compile other relevant data from different countries in developing Asia;
(v)	Process data and generate analytical results and organize these in tables and charts;
(vi)	Draft interpretations of analytical results and explore policy implications of analytical results;
(vii)	Assist the study team in other data processing requirements or literature reviews;
(viii)	Lead the coordination with other project team members and clients;
(ix)	With minimal supervision, perform other advanced administrative and technical tasks as needed.

The international expert must be a data scientist/GIS expert with previous experience (at least 7 years) 
in using a wide array of machine learning algorithms. The expert should have previous experience in big 
data management, big data analytics and big data business intelligence. In particular, the expert should 
have experience and expertise in predictive data analysis. Previous experience on prediction of 
transport quality indicators using satellite images and other types is preferred. A Master’s or PhD 
degree in economics, statistics, or data science is also preferred.