Retail Data Science Engineer: ML & Pipelines
Posted
Summary
A data science engineer designing scalable retail data architectures and pipelines, deploying ML models, and building analytics with SQL, Python, and Power BI to turn retail business challenges into production-ready data solutions.
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.