Data Scientist

The aim of the programme is to identify, develop, and deploy high potential responsible Artificial Intelligence (AI) automation and optimisation solutions targeting towards tackling issues in priority areas of health, education, humanitarian, economic development, and climate action.

The Data Scientist leads the application of AI and machine learning to critical public health and development challenges in Ethiopia. This role combines technical leadership, cross-sector collaboration, and capacity building to ensure responsible and impactful use of data science.

Ensure Technical Integrity of Pilots

• Collaborate with ministries and local partners to prepare, clean, and document datasets undersigned Data Sharing Agreements (DSAs).
• Validate partner algorithms and conduct performance testing in Ethiopian contexts (e.g., sensitivity, specificity, subgroup accuracy).
• Support bias and equity audits required by the Technical Advisory Group (TAG) prior to scale-up decisions. 

Bridge Global Models with Ethiopian Realities

• Guide adaptation of global models (e.g., maternal risk stratification, malaria RDT interpretation) to Ethiopian datasets, languages, and workflows.
• Document model transferability across contexts to inform policy and create learning products.

Embed Responsible AI Practices

• Work with Monitoring, Evaluation, and Learning (MEL) teams to operationalize fairness metrics and equity indicators.
• Develop tools for algorithmic auditing and monitoring dashboards accessible to ministries. 

Build Local Capacity and Ensure Handover

• Mentor data science teams and junior developers.
• Train ministry focal points and university faculty in practical AI/ML workflows to ensure sustainable institutional capacity.

• Tech./M.E./M.S./M.Sc. or equivalent in Computer Science, Electrical Engineering, Statistics, Data Science, or a relevant quantitative field with 9+ years of experience, or a PhD from a reputed institute.
• Proven experience applying AI/ML to real-world problems, especially in low-resource or public sector contexts.
• Strong research background with familiarity in foundational models, LLMs, and state-of-the-art techniques.
• Skilled in data mining, analysis, model development, simulation, and visualization.
• Demonstrated ability to mentor developers and lead projects to completion.
• Excellent oral and written communication skills; publication record is a plus.
• Passionate about solving large, societally important problems through technology.

Abilities/Skills:

• Artificial Intelligence & Machine Learning
• Data Science & Data Analysis
• Computer Science & Information Technology
• Research & Algorithm Development
• Equity Auditing & Responsible AI
• Cross-functional Collaboration
• Capacity Building & Mentorship

Salary: Between 28,659 – 53,164 USD per annum. 

Jhpiego offers competitive salaries and a comprehensive employee benefits package.

Please apply at www.jobs-jhpiego.icims.com

Applicants must submit a single document for upload to include: cover letter, resume, and references.

For further information about Jhpiego, visit our website at www.jhpiego.org

Note: The successful candidate selected for this position will be subject to a pre-employment background investigation.

Jhpiego is an Affirmative Action/Equal Opportunity Employer

“Jhpiego, a Johns Hopkins University affiliate, is an equal opportunity employer and does not discriminate on the basis of gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, other legally protected characteristics or any other occupationally irrelevant criteria. Jhpiego promotes Affirmative Action for minorities, women, individuals who are disabled, and veterans.

EEO is the Law

Application Deadline: October 9, 2025

Note: Recruitment for this position is contingent upon the successful award of the bid under which this role is being advertised.

#LI-KM19