Data Scientist

Company Description:

MaxAB is re-engineering Africa's informal retail sector through a B2B e-commerce and fintech super app. Since launching in 2018, we've connected over 150,000 traditional retailers with suppliers, delivering 2.5+ million orders across Egypt and Morocco. Our fintech business now generates more revenue than e-commerce, with over $180 million in sales last year. Following our merger with Wasoko, we're expanding across Sub-Saharan Africa.

About the Role:

MaxAB is seeking a highly skilled Data Scientist to join our centralized Data Team. This role focuses on the end-to-end lifecycle of machine learning models moving from initial deployment to production-level fine-tuning and long-term maintenance as well as participating in advanced analytics

What You’ll Do :

• Model Deployment & Optimization: Work on our Computer Vision initiatives, focusing on fine-tuning models to enhance real-time inventory accuracy and agent performance tracking within logistics environments.
• Automated Decision Engines: Maintain and refine logic-driven dispatching engines to optimize resource allocation and operational efficiency across multiple markets.

Risk Mitigation & Anomaly Detection

• Fraud Detection Systems: Develop and monitor robust ML models to identify high-risk behaviors and fraudulent patterns within our FinTech and E-commerce platforms.
• Integrity Maintenance: Conduct periodic audits and enhancements of existing identity and behavior-matching algorithms to ensure long-term system reliability.

Advanced Product Analytics

• Predictive Modeling: Support the Product team by developing time-series forecasting models to predict market demand and operational trends.
• Segmentation & Clustering: Apply unsupervised learning techniques to categorize retailer behaviors, enabling personalized product experiences and targeted risk interventions.

What We’re Looking For :

• Educational Background: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• Technical Proficiency: Advanced expertise in Python and SQL is essential.
• Computer Vision: Practical experience in fine-tuning and deploying CV models (e.g., PyTorch, TensorFlow, OpenCV) in real-world environments.
• Statistical Modeling: Strong understanding of time-series analysis, clustering techniques, and supervised learning.
• Deployment Experience: Familiarity with the transition of models from prototype to production, including monitoring and performance tuning.

Preferred Skills

• Experience in the FinTech, E-commerce, or Logistics sectors.
• Ability to translate complex technical findings into actionable insights for non-technical stakeholders.