Overview
The role involves co-creating or leading data projects, supporting capacity building, and developing data and analytics products using advanced data science models to support UNICEF's core programmes and emergency response.
Key Responsibilities
- Co-create or lead on data projects
- Support capacity building where applicable
- Develop data & analytics products
- Primarily using cutting-edge data and data science models
- Support horizontal initiatives across UNICEF’s core programmes on health, education, WASH and country climate initiatives
- Support the Office of Emergency Programmes with data for regional and country based emergencies
- Create Air Quality Model for Malaysia
Required Experience
- At least 10+ years of relevant work experience in Project Management, Data Engineering, Data Management, Data Analysis
- Experience in Data Visualization and Data Science/Machine Learning
- Strong experience in senior stakeholder engagement, facilitation, and project management
- Solid understanding of data visualization techniques and best practices, particularly within the EAP region
- Previous experience working with UNICEF
- Previous experience on climate data projects
- Robust data science skills
- Deep knowledge of agile methodologies, user-centered design and data management best practices
- Knowledge of satellite imagery and geospatial data engineering is a plus
- Comfortable working in a dynamic, collaborative team environment
- Strong experience in Project and Stakeholder Management, preferably within the East Asia Pacific region
- Demonstrated experience designing and developing compelling, and actionable data visualization products using modern data visualization tools like Tableau or PowerBI
- Demonstrated ability to convey insights and key messages from large, complex datasets clearly, quickly, and effectively to drive action
- Demonstrated data analysis skills and data science skills, especially in the social, public, development, or humanitarian sector
- Strong experience with building conversational agents using Large Language Models, and Gen AI
- Experience using Computer Vision and Deep learning models on Satellite images
- Proven experience in supporting and coordinating project activities across a large organization and with other international partner organizations across multiple stakeholders
Qualifications
• Masters In Computer Science, Data Science, Applied Mathematics or equivalent
