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Data Science Consultant - USAID Asia Counter Trafficking in Persons Project (deadline extended)


Organization : Winrock International
Type : Nonprofits / องค์กรไม่แสวงหาผลกำไร
Date : 1 Apr 2019
View : 523

Deadline : 19 / April / 2019

POSITION TITLE: Data Science Consultant, USAID Asia Counter Trafficking in Persons Project


LOCATION: Bangkok, Thailand or intermittent


CONSULTANCY PERIOD:  April-June 2019 (15 days)


REPORTS TO:  Sr. Advisor Research, M&E and Learning, USAID Asia Counter Trafficking in Persons Project


The USAID Asia Counter Trafficking in Persons program (USAID Asia CTIP) is a regional 5-year initiative to increase the quality and use of learning and data; facilitate regional and cross-border cooperation; and develop opportunities for private sector partnership and engagement to combat TIP. USAID also supports counter trafficking programs in major source and destination countries in Asia, including Bangladesh, Cambodia, Lao PDR, Nepal, and Thailand, implemented through cooperative agreements by Winrock International and an array of specialized partners.


To improve the measurement of CTIP interventions, the USAID Asia CTIP project is developing a predictive measurement method to monitor the risk factors of TIP through proximate determinants modelling. This method shifts the evidence and measurement thinking to focus more on the determinants of TIP, instead of TIP incidence and prevalence estimates. Through this approach, it is expected that the anti-trafficking field can better measure the impact of interventions through measuring the changes of the risk factors along the pathways of TIP.



USAID Asia CTIP seeks to learn from the existing predictive measurement methods in anti-trafficking as well as from the other fields (anti-corruption, gender-based violence, public health and disaster risk reduction) interventions, applying these promising practices into its CTIP interventions. In 2018, USAID Asia CTIP identified a data-backed proximate determinants model that integrates diverse data from existing sources to predict the changes of TIP risk factors. However, further work is needed to finalize the model and prepare it for field testing. An expert in developing projection models is needed to support the USAID Asia CTIP project to develop a prototype TIP risk projection model (regression analysis model for proximate determinants approach in estimating the TIP risk and at-risk population).



The Data Science Consultant will work closely with the Sr. Advisor Research and MEL to finalize the proximate determinants model and develop a plan to field test the model in one or more countries in the Asia region. Illustrative tasks include:


  1. Identify existing proximate determinant models (including the statistical modelling/formula) used in other fields such as anti-corruption, gender-based violence, public health and disaster risk reduction;
  2. Identify the mainstream projection models used in anti-trafficking;
  3. Based on the results of two points above, facilitate a round table discussion to nominate two predictive mathematic modellings for TIP proximate determinants approach:
    • Determine the criterion variable (i.e. reliability and validity of the determinants) and;
    • Identifying predictor variables (model selection/efficiency)
  4. Work with USAID Asia CTIP (and bilateral CTIP projects) in assessing the accuracy of the models and the stability of the model for prediction (field testing).
  5. Comparing two different prediction models to help to clarify the use of regression analysis in prediction of TIP determinants.



Successful candidates will have strong quantitative analysis skills as well as experience developing predictive/estimation modelling such as regression, structural equation and/or econometric modeling. Experience in human trafficking or migration-related issues predictive modelling is strongly preferred.


Education:  Advanced degree required in demography, public health, statistics, economics, or other related field.



  • Demonstrated ability to communicate effectively in English, both verbally and in writing.
  • Demonstrated skills in regression analysis for prediction and modelling applications/software.
  • Computer literate in word processing, spreadsheet, and presentation software (Microsoft).


Applicants should send their expression of interest to  and submit a current resume, cover letter and 3 reference contacts with the subject “Data Science Consultant” by April 19,2019.

Contact :


Contact :

ที่ปรึกษา / Consultant


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