Data Scientists at Kaufland e-commerce make an essential contribution to efficiently and meaningfully collecting and processing data from our online marketplaces. They define their core competence in applied machine learning. This refers to the ability to implement, execute, and maintain technical artifacts that can either be used by our product teams or have intrinsic value on their own. They practice data science, machine learning, and advanced analytics with the goal of bringing solutions into production, rather than solving academic problems. They are capable of applying the most modern solutions from their field to our business problems.
Our Data Scientists work as a horizontal expert team with a broad scope that spans across the entire product organization, impacting both the core and auxiliary businesses of Kaufland e-commerce. Their focus is on developing data-driven products through applied machine learning services that they discover, create, operate, and maintain. They also take on advanced analytical tasks to make data-driven business decisions. Key competencies in their portfolio include expertise in recommendation engines, natural language processing, image processing, LLM and generative AI, time series analysis and forecasting, and product intelligence.
What exactly does Data Science mean?
Data Science is a field that deals with analyzing large amounts of data to extract useful information. It combines various techniques from mathematics, statistics, and computer science to identify patterns and relationships within the data. The goal is to make predictions, support decision-making, or solve problems. Data Scientists use methods such as machine learning, data visualization, and data processing for this purpose.