Retail Data Science Engineer: Ml & Pipelines
Summary
Data science engineer for a retail client (sourced via Headhunters): designs scalable data architectures, builds robust data pipelines, and deploys ML models for retail analytics. Day to day: SQL and Python development, Power BI reporting, and stakeholder collaboration to turn business challenges into production-ready analytics.
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.