Senior Data Scientist with a focus on e-commerce (gn*)

You're analyst, designer, and you want to move something? Then you're right with us. With the help of algorithms, our BI & Analytics team provides tailor-made solutions to make future-oriented decisions. As a partner in the fields of reporting and analysis, the future will be shaped here!

For our company headquarters in Coesfeld-Lette (near Münster) we are looking for

Senior Data Scientist with focus on e-commerce (gn*)

Developing data science models in cross-disciplinary teams with a focus on e-commerce. Based on the behavior of our customers along the customer journey, you develop models to predict customer needs, purchasing probabilities and Churn risks. You take the lead of data science projects from request analysis, modelling, and the implementation and communication of the results. You actively shape the continuous development of our Big Data and Data Science architecture on Azure and implement scalable, automated analytics and machine learning pipelines. You actively contribute your expertise and ideas to further develop the strategic and operational orientation of our areas of data transmission. A varied working environment with ever-new applications in a Data Science area that focuses on the development of explainable models. Continuous further development through training and expert exchange.

Multiannual professional experience as Data Scientist, ideally focusing on e-commerce, digital analytics or CRM. A completed study in the field of statistics, economics, data science, computer science or related subjects with a corresponding deepening. Very good knowledge of Python or R, as well as dealing with Spark, SQL and cloud technologies such as Microsoft Azure, AWS, Databricks or comparable platforms. Experience in the development and implementation of prediction models, personalization algorithms and segmentation approaches. Experience in project management and cooperation with stakeholders from different disciplines. Communication strength as well as the ability to convey complex analyses in a comprehensible and targeted manner, both technically and business-oriented. The enthusiasm for the business added value of Data Science, AI and the joy to advance new ideas.

A robust data architecture A close and valuable cooperation with other departments, data architects and engineers A financially strong and sustainable company with future-oriented security and the culture of a family business 30 days holiday, special holidays and flexible working hours at a 37.5 hours week A fitness room on campus, advantages over the Corporate Benefits portal and your desired bike via bike leasing A good reconciliation of family and profession, e.g. by the family Kita on campus Special payments such as holiday and Christmas money as well as occupational pensions and asset-effective benefits with employer grant Fresh and cheap menus and snacks in our canteen and cafeteria, free water and coffee as well as various teas Light-flooded offices with a view to the green, jobs with back-saving and fully electric equipment, as well as Silent-Rooms and creative spaces JOBV1_EN