Responsibilities:
•Develop simulation and optimization models to support long range management decision making for health outcomes in line with the Organization’s Mission.
•Deploy AI and ML applications on existing analytics platform to optimize and evaluate internal processes.
•Maintain existing platform on private and commercial cloud to use identified and de-identified data for data exploration and real-time decision support via virtual machines.
•Develop and maintain data pipes from existing source systems into existing analytics platform.
•Analyse historical data to uncover trends and patterns as part of descriptive analytics.
•Interact with interdisciplinary teams to build data culture.
Requirements:
•Degree in Computer Science, Engineering, Statistics, Data Mining or related fields with at least 10 years of relevant experience.
•Experience in use of R and Python
•Proficient in the use of appropriate AI/ML pipelines
•Excellent organisation, coordination, and problem-solving skills
•Excellent interpersonal, written, and verbal communication skills