Data Scientist (GS 12 Equivalent)

Job Locations US-DC-Washington
ID
2020-3947
Category
Global Health/Public Health
Type
Regular Full-Time

Overview

The  Research and Policy (RP) Division of the Office of Maternal Child Health and Nutrition (MCHN) is a multidisciplinary unit that provides technical leadership, guidance, and coordination to advance the integrated use of policy and engagement, monitoring, evaluation and research and other relevant approaches to accelerate the uptake, scaling up, and sustained and effective use of maternal, newborn, child, environmental health and nutrition programming.  The RP division working in collaboration with USAID staff and partners undertakes analysis as well as manages and provides technical guidance to activities that includes monitoring, evaluation and research, policy, and community health.  Division staff use a range of analytical, technical, and engagement/ policy tools to support efforts to  reduce mortality, severe morbidity, and advance sustained development to support the achievement of the goals of Preventing Child and Maternal Deaths and contributes to activities to advance other GH goals, including AIDS Free Generation, the President’s Malaria Initiative and the overall development objectives of the Agency.

 

Job Requirements

The Data Scientist will provide technical support to guide the application of USAID MCHN technical and financial resources to the highest priority problem areas and interventions, at both headquarters and field program levels. The Scientist will conduct analysis and serve as well as a technical advisor on awards related to data management, analysis, visualization, and dissemination. 

Responsibilities

Provide technical expertise and support to USAID on program monitoring, evaluation, and research

  • Maintain in-depth knowledge of MCHN monitoring evaluation, and research related data design and reporting requirements, environmental compliance, open access, as well as data management and use strategies and other agency related requirements in order to provide informed advice to the MCHN Office’s (and to other USAID operating  units) program monitoring, evaluation, and research efforts
  • Provide support in the development and implementation of MCHN data-related strategies, analysis strategies, and activities.
  • Analyze MCHN related data and information to respond to queries and in order to prepare reports and presentations, including reports to Congress, and annual reports
  • Serve as a subject matter expert on data use/analysis, working in collaboration with program/technical stakeholders, to facilitate interpretation and dissemination MCHN-related data and research for program decision making and action.
  • Conduct routine program data review and trend analysis of MCHN data, including but not limited to, data compilation and management, data verification, and completeness checks, analysis of longitudinal/panel and cross-sectional data, and comparative analysis of results from various data collection systems.
  • Consult with MCHN program experts to understand where data analytics and research will most effectively support MCHN’s strategic objectives. Strengthen their capacity to effectively use analyses of MCHN monitoring, evaluation, and research data for the purposes of program accountability, oversight, and management.
  • Support data analysis and data use initiatives within the MCHN office, and provide technical support on data science activities across the continuum of maternal, newborn, child health and nutrition programs., including triangulation of survey, surveillance, and other country data sources, as appropriate.
  • Assist USAID/MCHN subject matter experts with data- focused analytical thinking for improved planning, monitoring, evaluation, and reporting of MCHN programs.
  • Design, develop and deliver high quality visualization, presentations, and other information products to support USAID operations at all stages of the development programming cycle including collaborative work with USAID staff working on external communication.
  • Translate complex data analysis concepts and requirements into clear, digestible, and useable information for both technical and non-technical team members.
  • Contribute to the MCHN knowledge base by preparing reports and publications, including, but not limited to, technical updates for country missions, peer-reviewed manuscripts, and by presenting internally and at international meetings/conferences, as needed.
  • Support country programs in monitoring and evaluation to ensure USG investments reflect the efficient use of resources.

 Serve as a subject matter expert to USAID and its partners to support effective and efficient activity management

  • Serve as a technical advisor for one or more MCHN managed activities providing input related to monitoring, evaluation, and research
  • Review and advise USAID collaborating agencies on the data analysis plans, protocols, and on project/activity work plans
  • Liaise with USAID-funded projects to coordinate and help design data analyses of use to USAID
  • Engage in technical discussions with various USAID implementing partners working on data science, monitoring, evaluation, and research, as well as other USG and non-USG partners working various dimensions of MCHN measurement,
  • Engage in other duties as assigned.

Contribute public health expertise and participate in working groups and task forces

  • Participate in the GH Bureau M&E and research teams to provide technical leadership, quality control, and guidance on MCH data collection, analysis, and reporting requirements
  • Serve as a member of a GH country support team to support needs of USAID country missions
  • Participate in USG related task forces and collaborative efforts to facilitate the sharing of best practices across USG programs vis-a-vis data science and research activities.
  • Build MCHN, implementing partner, and Mission capacity to standardize and automate data collection, management, and display of MCHN-related data to make rapid data analysis and ideally real-time use more efficient, transparent, reproducible, and effective.

Professional Development

  • Participate in professional continuing education, skills training and professional meetings to enhance relevant technical skills and career development
  • Complete and execute an Individual Learning and Training Plan and Annual Work Plan

 

Qualifications

  • Master's degree in public health or a related field and 5years relevant experience or a Bachelor's degree and 7 years of relevant experience or equivalent combination of education and experience.
  • At least 5 years of professional experience with two or more public health or related technical disciplines such as data science; statistics; epidemiology; Maternal, newborn and child health; Nutrition; HIV AIDS; program monitoring and evaluation; research.
  • Demonstrated skills in data analysis and visualization, preferably relating to MCHN or other public health programs.
  • Knowledge of statistical software (e.g. STATA, SAS, R) and/ or other data science tools relevant to public health (e.g. GIS, Tableau, ggplot2, Weka, Excel).
  • Experience working in low- and middle-income countries or similar resource constrained setting, preferably with a maternal and child health public health program
  • Ability to produce quality work products on short notice that meet customer needs
  • Demonstrated skills in project management of USAID or similar activities preferred
  • Strong interpersonal, facilitation and team building skills, and ability to work across agencies and cross-culturally with diverse teams on sensitive issues.
  • Ability to travel domestically and internationally up to 20% time.
  • US Citizenship or US Permanent Residency with the able to obtain and maintain facility access.

 Preferred qualifications

  • Experience with Tableau Desktop and Tableau Prep Builder or equivalent data visualization and management tools
  • Analysis of longitudinal/panel data preferably including multi-level and random effect models
  • Experience analyzing survey data at the individual and household level such as the Demographic and Health Survey (DHS) or Multiple-Indicator Cluster Survey (MICS)
  • Experience with econometric methods such as propensity score matching, synthetic control, use of instrumental variables, difference in differences approaches
  • Proficiency in monitoring and evaluation, including analysis of routine reporting systems, and the design and implementation of evaluations and research studies

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