Job Description
Kasha is a fast-growing startup e-commerce company in East Africa focused on women’s health and personal care, selling products such as menstrual care, contraceptives, HIV self-tests, soaps, lotions, baby diapers, and beauty products.
Kasha’s e-commerce is highly accessible across the region and customers can order via website, app, USSD (basic mobile phone, no internet), call center or social media.
On top of the consumer business, Kasha’s business includes market insight, analytics, and service offerings to global manufacturers of FMCG, Pharma and Beauty products with the aim of helping them drive their revenue and market penetration.
Data Scientist
About the Role
The Data Scientist will leverage AI/ML-driven predictive analytics to support the development and deployment of Proof-of-Concept (PoC) and Minimum Viable Products (MVPs) focused on NCD (Non-Communicable Diseases) patient retention, delivery forecasting, behavioral adherence, and AI-powered virtual assistants.
The role involves building machine learning models for risk scoring, adherence prediction, and supply chain optimization while integrating insights into existing healthcare and logistics dashboards to improve patient outcomes and operational efficiency.
Role can be based in Egypt, Rwanda, Kenya and/or South Africa.
Responsibilities
Delivery Forecasting & Supply Chain Optimization
Develop an AI-powered delivery forecasting model to predict medication delivery accuracy and potential delays.AI-Powered Virtual Assistants
Develop and deploy AI-powered chatbots and virtual assistants for medication reminders, real-time patient engagement, and adherence support.Data Engineering & Infrastructure
Design and optimize Python-based ETL pipelines for data flow between AI models and healthcare dashboards.Monitoring, Validation & Deployment
Develop real-time monitoring mechanisms for risk stratification insights and adherence dashboards.Collaboration & Knowledge Sharing
Work closely with healthcare professionals, supply chain teams, and DevOps engineers to align AI models with operational needs.Qualifications
Experience
Knowledge