Omnichannel home improvement retailer with 50+ stores across Turkey
Koçtaş operates a multi-format home improvement retail chain across Turkey with physical stores and e-commerce presence. The tech stack reveals an analytics and ML infrastructure (Python, Pandas, scikit-learn, PyTorch, TensorFlow, Databricks, Synapse) layered beneath operational retail systems (SQL Server, Microsoft Office, Hyperion), suggesting active data-driven initiatives around category profitability and inventory optimization. Current hiring is sparse but accelerating, with engineering and product roles signaling digital transformation work—likely tied to e-commerce integration and backend modernization.
Koçtaş is a retail chain specializing in home improvement, construction materials, garden furniture, and décor across Turkey. Founded in 1955 as a building-materials wholesale operation under Koç Holding, the company pivoted to retail in 1996 and now operates 50+ locations nationwide, ranging from full-format stores to the smaller Koçtaş Fix concept introduced in 2013. The organization operates omnichannel—physical retail, e-commerce platform (live since 2006), and mobile app (launched 2018)—and competes in the broader home and garden improvement segment. Operational footprint spans multiple departments (finance, legal, marketing, product, engineering) supporting both store operations and digital channels.
Koçtaş operates on SQL Server, Microsoft Office, and Hyperion for core systems, with Python, Pandas, scikit-learn, PyTorch, TensorFlow, Databricks, and Synapse for analytics and ML workloads. They use Azure Machine Learning and Delta Lake for data infrastructure.
Active projects include e-procurement process implementation, payment system integration with store operations, new product launches, campaign and promo planning, and project tracking systems. Internally, the company is focused on employee legal/compliance training and managing notice and mediation processes.
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