Yassir is the Super App designed to make life easier for Africans both on the continent and in the diaspora, creating economic opportunities for service providers and infusing social values. We aspire to provide our users with essential services through technology and a large ecosystem of partners. Yassir stands for ambition, transparency, trust, quality, and performance, and is one of the fastest-growing tech companies in Africa.
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Yassir is seeking a highly skilled and motivated Data Scientist to join our Artificial Intelligence (AI) team and contribute to key projects such as Dynamic Pricing and Trip Dispatching. As a Data Scientist, you will analyze and model data to optimize our Machine Learning (ML) systems. Your expertise in predictive modeling and software development will be crucial in delivering innovative solutions and providing value to Yassir.
The AI team is part of Yassir’s central Data & AI domain, responsible for all data-related activities, from Data Engineering and Data Platform management to Data Analytics and AI solutions.
Key Responsibilities
- Become an expert point of contact on your scope, focusing on key areas including pricing optimization and fraud detection.
- Identify and propose ML opportunities and require definition for ML projects.
- Collaborate with cross-functional Engineering and Product teams.
- Champion Data Quality as a critical component for ML solutions.
- Conduct Exploratory Data Analysis and employ statistical and ML techniques for model training.
- Visualize analysis results with actionable insights.
- Deploy and test ML applications using MLOps infrastructure.
- Monitor ML models for performance and business impact.
- Maintain and improve technical documentation and share knowledge across teams.
Key Requirements
- Master's degree or above in Mathematics, Statistics, Data Science, Machine Learning, or related fields.
- 2+ years of industry experience in Python and SQL programming.
- Familiarity with software engineering concepts and practices.
- Strong analytical thinking and problem-solving skills.
- Experience in visualization, using Python libraries or Analytics/BI tools.
- Knowledge of Cloud solutions, preferably Google Cloud Platform (GCP).
- Excellent communication skills in professional English.
Language Requirements
- Proficiency in English is essential for communication and documentation.
Nice to Have
- Experience in on-demand, mobility, or financial services.
- Previous work on ML features for digital products.
- Background in Pricing/Economics or Fraud Detection related projects.
