Summary from listing
The Data Scientist will collaborate with business partners to develop analytical approaches using AI, generative AI, and applied statistics; communicate analytical results; advocate for data-driven decision-making; lead analytical work integrated with data engineers, executives, analysts, and developers; create scalable analytical models; combine internal and external data sources; and develop long-term processes and standards. The role requires an academic background in data science, computer science, engineering, or statistics, strong Python and PySpark skills, complex SQL, machine learning, big-data technologies, and data visualization experience. The posting offers a permanent contract with attractive compensation, personal responsibility, an international environment, and retail-industry IT projects.
