Data Scientist (w/m) 100% — . Dein neuer Job Erfassen, Modellieren und Verarbeiten von strukturierten sowie unstrukturierten Daten Durchführen von Ad-hoc-Analysen und A

Data Scientist (m/w) 100% We are very nice on Za(c)k. As a young daughter of the Basel Cantonal Bank, we launched the first Swiss smartphone bank with « Zak ». With this, we are a tick faster, more whispery and perhaps even more cheerful than other banks. We also deal with the issue of money openly, in general we are discussing issues that are important to us directly. More female power, for example. This is why we are particularly pleased with women's applications. Men? Are of course still welcome. Would you like to know more about us who we are and how we tick? You're welcome. Jarmo, David, Christian, Raphael, Dominik and Miltos from Team Data Analytics in Basel are looking for reinforcement. In other words, you! As a small but fine team, we combine several roles in us: we are data scientists and data engineers and increasingly also cloud experts. New technologies such as artificial intelligence and cloud solutions inspire us and drive us. For us, technology is always a means for the purpose: we work closely with the specialist areas – in particular sales – to implement the corporate strategy. We measure our success in our contribution to increasing sales figures, the efficiency of internal processes and the promotion of a lived data culture in the organization. Your new job - Recording, modeling and processing of structured and unstructured data - Conducting ad hoc analyses and preparing results by means of meaningful visualizations - Active participation, design and implementation of direct marketing campaigns in close cooperation with marketing, sales and customer experience - including success measurement - Developing machine learning models for specific applications - Ensure stable operation and collaboration in the further development of our Azure cloud infrastructure and Databricks We benefit from this - Complete Master's degree in Data Science, Computer Science, Statistics, Mathematics, Physics or Quantitative Economics with a pronounced analytical backgro