Global Health Technical Professionals (GHTP) is a US Agency for International Development (USAID) program that offers early- to mid-career global health professionals the opportunity to advance their careers supporting the USAID Bureau for Global Health and its implementing partners. GHTP is helping USAID improve global health outcomes in communities around the world by building a new generation of global health technical professionals who reflect the diversity of the American people.
Credence Management Solutions, LLC (Credence) is seeking Data Scientist within USAID’s Bureau for Global Health, Office of Office of Policy, Programs, and Planning (P3) under GHTP.
USAID’s Office of Policy, Programs, and Planning (P3) within the Bureau for Global Health (GH) has the primary responsibility for GH’s strategic planning, budgeting, programming, and procurement functions. P3 provides leadership, advice, and support for cross-Bureau and cross-sector strategic direction, resource allocation, and procurement planning.
Within P3 is the Global Health Data Analytics Hub (the Hub). Formally established in 2016, the Hub works to organize, manage, and analyze data on global, country and regional trends related to health and on USAID programmatic impact; produce cutting-edge data visualizations, and strengthen USAID’s in-house capacity for self-service data analytics. The Hub is a team of data analysts and change management agents facilitating better use of technology to democratize data access and scale-up self-service analytics within USAID and its implementing partners. To facilitate a data-driven culture across all GH operating units and USAID field missions, the Hub has organized its activities in four areas: visual analytics; research and innovation using existing data sources; data management; and data literacy.
The Hub staff serve as translators connecting USAID technical staff and ideas to data and proven methods for data analysis and visualizations. Some of the services the Hub offers include:
- Production of sophisticated data analyses, data visualizations and maps to enhance information, communications, and demonstration of USAID’s technical expertise and programming impact through data-driven evidence;
- Development and consistent use of data research protocols, reporting practices, organizational templates, enablement and adoption of analytics programs; and
- Advanced technical and executive data literacy programs for USAID and implementing partner staff.
GH/P3 seeks to hire a Data Scientist to support the GH Bureau and USAID field Missions to strengthen the use of data for programming, evaluation, and impact reporting through better access to global public health and international development data and assisting GH technical staff and management with advanced data analysis and Tableau data visualizations.
The Data Scientist will serve as a member of the Hub within the Division of Strategy, Analyses, Evaluation and Outreach (GH/P3/SAEO). The Data Scientist will work closely with GH offices and USAID field Missions to facilitate access to data and conduct advanced analysis and create visualizations of global public health and USAID programmatic and financial information. This role requires a significant set of technical skills, including a deep knowledge of data visualization and analytics tools like Tableau/Tableau Prep, Qualtrics, advanced data manipulation with R or Python or Alteryx.
The Data Scientist is expected to work with a variety of data sources including annual and quarterly-reported program and quality of service data, Demographic and Health Surveys (DHS) data, USAID financial data, and global health epidemiologic data sourced from international development organizations or USAID host country governments. In addition, they will support efforts to build capacity for data analytics, management, and visualization within GH offices and USAID Field Missions. They will participate in USAID and industry data science working groups and communities of practice, and work collaboratively with USAID’s global health subject matter experts, engaging stakeholders in the development and prioritization of data analyses.
The Data Scientist will work closely with and receive technical guidance from the Division Chief of the Strategy, Analysis, Evaluation and Outreach Division (GH/P3/SAEO) or his designee, who will serve as their USAID point of contact. If you live and breathe data, enjoy turning information into insight, and want to apply your considerable data analytics and data visualization skills in ways that truly advance global health critical priorities, this is the role for you.
In their role as a member of the GH Data Analytics Hub, the Data Scientist may be required to:
- Collaboration with GH data modelers, data visualization experts, and IT team members on data analytics projects.
- Analyzing data sources that include annual USAID performance data, quarterly-reported programmatic data, USAID financial data, global public health epidemiologic, burden of disease, demographic and cross-national household survey data as well as other data sources.
- Work with stakeholders throughout the Bureau and field Missions to develop and interpret data insights and dashboards using Tableau software.
- Present results of data analyses in an easily understood manner.
- Research, plan, analyze, and organize technical and statistical information and developing data for use in briefings, publications, and reports.
- Clean and verify data integrity and quality before analysis and prepare data for predictive and prescriptive modeling.
- Organize or support efforts to build USAID’s in-house capacity to improve global health data management, analytics, and visualization.
- 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
- Minimum degree and experience combination of 1) Master’s and 7 years, 2) Ph.D. and 5 years, or 3) Bachelor’s and 9 years of experience in public health, epidemiology, social science, applied mathematics, statistics or equivalent.
- At least 5 years of professional experience with two or more technical disciplines such as data science; research; analytics; visualization; data management (ETL, UX/UE); statistics; GIS; epidemiology; job duties/responsibilities generally related to PD requirements.
- Extensive experience with common data science tools (such as Tableau, R/Python, Plotly) is required. Tableau Desktop Associate Certification is preferred or should be successfully achieved with the first twelve months of employment.
- Demonstrated experience in analysis and presentation of public health data.
- Demonstrated experience and expertise in database management and/or statistical software such as SQL, R, Stata, or Python.
- Strong applied qualitative and statistical analysis skills are preferred, such as theming, descriptive statistics, distributions, statistical testing, regression, time series analysis, forecasting, clustering, and Bayesian methods.
- Intellectual curiosity to find new and unusual ways of how to visualize and analyze data.
- Comfortable working both independently and collaboratively.
- Strong attention to detail and accuracy.
- Strong oral and written communication skills.
- Ability to travel internationally up to 15%.
- US citizenship with the ability to obtain and maintain secret security clearance required.