Senior Technical Officer Data Science & Analytics(AfCDC)
Lead data science and analytics strategy in the Africa CDC.
Overview
Lead data science and analytics strategy in the Africa CDC.
You have:
- Master’s degree in data science, Computer Science, Epidemiology, Biostatistics, Applied Mathematics, Public Health Informatics, or related field with 7 years of professional experience, 3 years at supervisory level.
- Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or a related field with 10 years of professional experience, 3 years at a supervisory level.
- Experience working with public health surveillance data in African settings is highly desirable.
- Demonstrable experience in data science, analytics, epidemiological modelling, or public health intelligence.
- Practical experience designing and implementing large-scale analytical systems and solutions.
- Outstanding research skills including the ability to analyse, synthesize and summarize complex information.
- Proficient in Microsoft Office computer applications; and advanced proficiency in Python, R, SQL, machine learning frameworks, and cloud technologies.
- Knowledge of epidemiological methods, statistical modelling, and data visualization.
- Experience with geospatial systems (GIS), real-time data pipelines, and API integrations.
- Proficiency in one of the AU working languages is mandatory and fluency in another AU language is an added advantage.
Contract
This is a P-3 contract. This kind of contract is known as Professional and Director staff. It is normally internationally recruited only. It's a staff contract. It usually requires 5 years of experience, depending on education.
Salary
The salary for this job should be between 107,047 USD and 140,169 USD.
Salary for a P-3 contract in Ethiopia
The international rate of 74,649 USD, with an additional 43.4% (post adjustment) at this the location, applies. Please note that depending on the location, a higher post adjustment might still result in a lower purchasing power.Please keep in mind that the salary displayed here is an estimation by UN Talent based on the location and the type of contract. It may vary depending on the organization. The recruiter should be able to inform you about the exact salary range. In case the job description contains another salary information, please refer to this one.
More about P-3 contracts and their salaries.Job Description
#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(37,91,48) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(240,171,0,1.0) !important;} Apply now - Start applying with LinkedIn
Apply Now Start
Please wait...
Job Title: Senior Technical Officer Data Science & Analytics(AfCDC)
Posting Start Date: 2/13/26
Job Description: AU Values
• Respect for Diversity and Team Work • Think Africa Above all
• Transparency and Accountability • Integrity and Impartiality
• Efficiency and Professionalism • Information and Knowledge Sharing
Download CV Template Here
Please download the African Union CV template here. Kindly fill it out correctly and upload it to the "Resume" tab of your profile. This is MANDATORY.
Organization Information
Job Grade: P3 Number of Positions : 1 Number of Direct Reports: 0 Number of Indirect Reports: 0 Contract Type: Appointment for Limited Duration (ALD) Location: Addis Ababa, Ethiopia Reports to: Head of Division, Surveillance and Disease Intelligence
Purpose of Job
Africa Centres for Disease Control and Prevention (Africa CDC) is a specialized technical institution of the African Union established to support public health initiatives of Africa Union Member States (AU MS) and strengthen the capacity of their public health institutions to detect, prevent, control, and respond quickly and effectively to disease threats. Africa CDC supports AU MS in providing coordinated and integrated solutions to the inadequacies in their public health infrastructure, human resource capacity, disease surveillance, laboratory diagnostics, and preparedness and response to health emergencies and disasters.
Main Functions
The Senior Technical Officer (STO), Data Science & Analytics will serve as the senior technical authority responsible for designing, leading, and governing enterprise level data science, analytics, and forecasting capabilities. This role will provide strategic and technical leadership across the full data lifecycle, from data architecture to advanced analytics; ensuring the organization leverages high‑quality insights to inform decision‑making, optimize operations, and support long‑term strategic goals. The Senior Technical Officer will act as the subject‑matter expert, guiding technical teams, advising leadership, and championing best‑practice standards in data analytics, predictive modelling, and data infrastructure.
Specific Responsibilities
The Senior Technical Officer Data Science & Analytics shall:
- Lead the development and execution of the organization’s data science and analytics strategy.
- Serve as the principal advisor on analytical methodologies, data governance, and emerging technologies.
- Drive innovation by evaluating and implementing advanced statistical, machine learning, and AI techniques.
- Provide thought leadership on analytics maturity, capability development, and long-term data architecture evolution.
- Lead the design, development, and ongoing maintenance of the continent’s central data repository, ensuring secure, scalable data pipelines, high data quality, and seamless integration of regional and continental systems.
- Establish and enforce comprehensive data governance and quality standards, overseeing data integrity, metadata management, regulatory compliance, and continuous improvement across all participating countries and technical teams.
- Monitor repository performance, optimize storage and processing frameworks, and ensure high availability, disaster recovery, and compliance with continental data protection regulations.
- Collaborate with the data analysts to resolve data integrity issues and continuously improve the repository’s reliability and analytical readiness.
- Oversee the design and deployment of predictive models, time series forecasts, optimization frameworks, and simulation tools.
- Guide technical teams in rigorous statistical analysis, model validation, and continuous model performance monitoring.
- Ensure compliance with organizational policies, regulatory requirements, and data privacy standards.
- Oversee major analytics projects, ensuring methodological rigor, compliance with data standards, and effective guidance of technical teams.
- Engage and secure new technical assistance and funding partners for the Data Science and Analytics unit.
- Represent the unit and share its vision and position at continental and global meetings, and conferences.
- Support any other duties assigned by the head of division.
Academic Requirements and Relevant Experience
Master’s degree in data science, Computer Science, Epidemiology, Biostatistics, Applied Mathematics, Public Health Informatics, or related field with 7 years of professional experience, 3years at supervisory level.
OR Bachelor’s degree in data science, Statistics, Computer Science, Mathematics, or a related field with 10 years of professional experience, 3 years at a supervisory level.
Required Skills
- Demonstrable experience in data science, analytics, epidemiological modelling, or public health intelligence.
- Practical experience designing and implementing large-scale analytical systems and solutions.
- Experience working with public health surveillance data in African settings is highly desirable.
- Prior leadership experience managing technical teams or complex data projects.
- Outstanding research skills including the ability to analyse, synthesize and summarize complex information.
- Proficient in Microsoft Office computer applications; and advanced proficiency in Python, R, SQL, machine learning frameworks, and cloud technologies.
- Knowledge of epidemiological methods, statistical modelling, and data visualization.
- Experience with geospatial systems (GIS), real-time data pipelines, and API integrations.
Personal Abilities
Functional Skills
- Ability to deliver under tight deadlines and work well under pressure.
- Analytical and problem-solving skills.
- Good interpersonal skills.
- Ability to operate in a multicultural environment.
- High level of autonomy at work, yet with profound team spirit.
- Adaptive, patient, resilient and flexible.
- Proactive and solution oriented.
Footer
TENURE OF APPOINTMENT:
The Appointment will be for a period of Eleven (11) Months, of which the first three (3) months will be considered as a probationary period. Thereafter, the contract may be renewed subject to funding availability, satisfactory performance and agreed deliverables.
GENDER MAINSTREAMING:
Africa CDC is an equal opportunity employer and qualified women are strongly encouraged to apply.
LANGUAGES: Proficiency in one of the AU working languages (Arabic, English, French, Kiswahili, Portuguese, and Spanish) is mandatory and fluency in another AU language is an added advantage
REMUNERATION:
The salary attached to the position for the eleven month period is US$ 88,844.56 (P3 Step 5) inclusive of all allowances for internationally recruited staff, and US$ 68,255.99 inclusive of all allowances for locally recruited staff of the African Union.
Applications must be submitted no later than February 27, 2026 11h59 p.m. EAT. -Only candidates who meet all job requirements and are selected for interviews will be contacted. -Consideration will be given only to those candidates who have submitted a fully completed online application with a curriculum vitae (CV), an African passport, and the required academic qualifications, such as Diplomas, Bachelor's degrees, Master's degrees and any relevant certificate in line with the area of expertise. -The African Union is an equal opportunity employer, and female candidates are strongly encouraged to apply. -Candidates from less represented countries within the African Union are strongly encouraged to apply for positions that fit their profiles. These countries include Algeria, Angola, Cape Verde, Central African Republic, Comoros, Egypt, Equatorial Guinea, Eritrea, Eswatini, Guinea, Guinea-Bissau, Liberia, Libya, Madagascar, Mali, Morocco, Namibia, Niger, Sahrawi D.R., Sao Tome and Principe., Seychelles, Somalia and Tunisia.
#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{color:rgb(37,91,48) !important;}#body.unify div.unify-button-container .unify-apply-now:focus, #body.unify div.unify-button-container .unify-apply-now:hover{background:rgba(240,171,0,1.0) !important;} Apply now - Start applying with LinkedIn
Apply Now Start
Please wait...
Potential interview questions
| Describe your experience in data science and how it relates to public health. | The interviewer wants to understand your background in data science, especially relating to health. | Highlight specific projects or roles where you have applied data science techniques in public health. |
| How do you ensure data quality and governance in projects you manage? | This assesses your understanding of data governance standards and practices. | Pro members can see the explanation. |
| Can you provide an example of a predictive model you developed? What was the outcome? | Pro members can see the explanation. | Pro members can see the explanation. |
| What strategies would you implement to improve data analytics capacity in a public health context? | Pro members can see the explanation. | Pro members can see the explanation. |
| How do you handle tight deadlines and high-pressure environments? | Pro members can see the explanation. | Pro members can see the explanation. |
| Explain how you approach collaboration with diverse teams while working on analytical projects. | Pro members can see the explanation. | Pro members can see the explanation. |
| What methods do you use to stay current with emerging data analytics technologies? | Pro members can see the explanation. | Pro members can see the explanation. |
| What are the ethical considerations you take into account while conducting data analysis? | Pro members can see the explanation. | Pro members can see the explanation. |