Data Scientist, Harare at Elizabeth Glaser Pediatric AIDS Foundation (EGPAF)

job Description

Job Title: Data Scientist
Number of Positions: 1
Location: Harare, Zimbabwe
Reports to: EGPAF Data Management Systems Advisor: EGPAF Global TA Project Background

The Elizabeth Glaser Pediatric AIDS Foundation (EGPAF), a recognized leader in the global effort to eliminate pediatric AIDS, is also one of the most successful international implementation organizations for pediatric, adolescent, youth, and adult HIV prevention, care, and treatment programs. EGPAF currently provides technical assistance (TA) at the health facility, community, district, and national levels in 20 countries to effectively support implementation, scale-up and evaluation of HIV, TB and epidemic preparedness and response programs. EGPAF can provide high-impact, high-quality, innovative, contextually responsive TA across a wide range of areas including health system strengthening, strategic information and evaluation, operational research, community engagement, organizational development, innovation/emerging technical priorities, project management, and HIV/TB/COVID-19 service delivery. EGPAF's decades of experience in epidemic prevention and control as a technical leader in the global fight against HIV/AIDS has made the organization uniquely prepared to respond to pandemics. For more information, please visit the EGPAF website: www.pedaids.org

Assignment Overview
The purpose is to provide comprehensive, effective and efficient TA, capacity building, and program implementation expertise for PEPFAR and Global Fund to Fight AIDS, TB and Malaria (GFATM)-supported global health activities.

Job Summary
The Data Scientist will develop the Malaria module of Mpilo electronic health system as part of the DELTA 2 technical assistance between provided to the Ministry of Health and Child Care of Zimbabwe. This work will be conducted under the direct supervision of the Data Management Systems Technical Advisor. The Data Scientist will be expected to adhere to strict timelines in all work that will be conducted. This assignment is for duration of six (6) months.

Duties and Responsibilities

-Identify valuable data sources and automate collection processes
-Undertake preprocessing of structured and unstructured data
-Analyze large amounts of information to discover trends and patterns
-Build predictive models and machine-learning algorithms
-Combine models through ensemble modeling
-Design informative dashboards for stakeholders
-Present information using data visualization techniques
-Propose solutions and strategies to business challenges
-Collaborate with engineering and product development teams

Qualifications and Experience

-BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field
-Proven experience as a Data Scientist or Data Analyst in the public health sector
-Experience in data mining eP9g9vh DGiTx9
-Understanding of machine-learning and operations research
-Knowledge of SQL, JavaScript, and Python; familiarity with Java is an asset
-Experience using business intelligence tools (e.g. PowerBI) and data frameworks (e.g. Hadoop)
-Experience using DHIS2
-Experience using collaborative project management tools (e.g. GIT, JIRA)
-Analytical mind and business acumen
-Strong math skills (e.g. statistics, algebra)
-Understanding of public health reporting indicators
-Problem-solving aptitude
-Excellent communication and presentation skills