Senior Data Scientist

mylo is a fintech platform dedicated to helping millions of people and businesses thrive by providing accessible and responsible financial solutions. Whether you’re purchasing a mobile phone, a new jacket, a flight ticket, a comfy couch, or even covering school tuition, mylo enables you to buy now and pay later at thousands of points of sale across Egypt. Born out of B.TECH—Egypt’s leading electronics and appliances retailer with over 27 years of experience in offering buy now, pay later solutions—mylo brings a legacy of trust and innovation to the fintech space. All mylo products are fully Sharia-compliant, ensuring ethical and inclusive financial practices. We are seeking a passionate and experienced Senior Data Engineer to join our team within the Fintech domain. This role is ideal for someone who thrives in a fast-paced environment and is excited to design, build, and scale secure, high-performing infrastructure to support a range of financial products. Responsibilities Multi-Domain Technical Strategy: Lead the development of ML solutions across diverse contexts, ensuring that models for Credit Risk, Pricing Elasticity, and Collection Optimization utilize shared infrastructure efficiently. MLOps Architecture: Champion the adoption of modern Model Serving frameworks and Feature Stores. Design workflows that ensure feature consistency between training and real-time inference. Engineering Standards: Establish rigorous standards for Data Versioning, experiment tracking, and Hyperparameter Optimization, ensuring all research is reproducible and production-ready. Production Deployment: Oversee the transition of models from notebook environments to low-latency production APIs. Ensure models are wrapped, containerized, and integrated seamlessly with backend services. Mentorship: Guide the team in best practices for Python software engineering, including testing strategies, code structure, and performance optimization. Experience: 4+ years in Data Science with a strong emphasis on production engineering. Experience in Fintech, Lending, or Risk is highly preferred. ML Proficiency : Deep understanding of both classical machine learning (Gradient Boosting, Statistical Models) and Deep Learning frameworks. Production Engineering : Proven track record of deploying models in real-time environments. Familiarity with the concepts of Feature Stores and Model Registries is essential. Technical Stack: Expert-level Python skills. Strong proficiency in SQL and relational database design. Strategic Thinking : Ability to translate complex business KPIs (e.g., reducing Non-Performing Loans) into technical ML roadmaps.