Job description
b_labs is the transformation and digitization arm of B.
TECH, on a mission to change the industry as we know it.
We spearhead tech innovation at B.
TECH, an organization that has been a cornerstone of the Egyptian retail industry.
We are the engine powering B.
TECH in achieving its goal of becoming the leading omni-channel platform for consumer electronics and appliances in Egypt.
By joining b labs, you will get to benefit from a collaborative startup environment, while also enjoying the stability of working within a company that has achieved strong growth year after year.
You will be part of a visionary, customer-focused team with an ambitious mission--to become a trailblazer for digital retail within the Middle East.
The Role We are looking for a Senior Data Scientist to lead the technical strategy for our decisioning engines.
You will operate at the intersection of Data Science and Software Engineering, designing high-scale systems that power multiple business lines—from Growth & Pricing to Underwriting & Collections.
You will move beyond simple model building to architecting robust, reproducible MLOps pipelines that serve real-time financial decisions.
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.
This job post has been translated by AI and may contain minor differences or errors.
