Retail data science engineer: ml & pipelines
Summary
A data science developer role in Centurion, South Africa, focused on designing scalable data architectures and building robust data pipelines to deliver ML-driven analytics for retail. Day to day involves deploying ML models, prototyping production-ready analytics, and translating business challenges into data solutions using SQL, Python, and Power BI.
Headhunters is seeking a Data Science Developer (Retail) to design scalable data architectures and deliver ML-driven analytics. You will build robust data pipelines, deploy ML models, and collaborate with multiple stakeholders to translate business challenges into practical data solutions.
The role requires 3+ years in data science or analytics engineering, with advanced SQL, Python and Power BI skills, and an ability to prototype production-ready analytics within a retail context. #J-18808-Ljbffr
