Data Scientist

At SAP, more than 78,000 of us flourish in an environment that encourages open, free expression of ideas. You'll work alongside creative thinkers who turn big ideas into reality for our customers. And with innovative job training, mentors to help you grow, and flexibility to balance work and personal life, you get more out of your career, too.

In general a Data Scientist can work in different areas, for example in customer projects (co-innovation, consulting, custom development, projects with internal customers), in development or research.

* **Customer projects**: A Data Scientist working in customer projects executes the mathematical modeling of our customers’ business problems, develops algorithms, data mining flows and applications to solve these problems, and helps our customers directly to understand and implement the results of the analysis. In this role, the Data Scientist works directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver a solution to the client. * **Development**: A Data Scientist working in development integrates or implements data mining/ mathematical methods into products. Is responsible for evaluating and testing data mining methods and maintains a high level of quality. Is responsible to work closely with the senior data scientist to prototype new innovations and eventually get them into the product. Contributes to data definitions, data storage infrastructure for data mining purposes and to Data Mining architectures. Resolves data mining performance issues and monitors data mining system performance and implements efficiency improvements. Implements data mining algorithms if required. Works closely with product management, application developers, information developers and end users. * **Research Projects**: A Data Scientist working in research projects performs functional and empirical analysis on data mining topics. Conducts research on data mining tools and algorithms, implements prototypes and data mining algorithms and validates them on real data. Contributes to best practices for data mining topics and collaborates with development, universities and research institutes.

* Software development experience * Hands-on experience with Data Mining tools * Business English: Professional Working Proficiency **Education:** * Bachelor or Master degree in Mathematics, Physics, Computer Science or equivalent education.