Thesis student (f/m/d): ML in the Context of SAP Data Warehousing in Walldorf
SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.
SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.
ABOUT THE TEAM
SAP is one of the worldwide largest software companies for business software in a highly evolving and expanding market. Mainly located in Walldorf Germany, offices are spread throughout the world developing software and delivering IT services for the main international big players.
For the digital transformation, customers are increasingly leveraging intelligent technologies to make their business processes run better. The need for first-class insights gained from data is ever-growing in a technological landscape where data volume is experiencing a massive growth. SAP’s cloud strategy enables a new realm of possibilities in order to reap the benefits of these new technologies. Therefore "SAP Customer Success – Center of Expertise for Data Management and Analytics”, is looking for a Thesis student (f/m/d) who is ready to create and analyze a selected machine learning scenario, point out the challenges as well as evaluate and present the business use-case.
During the thesis the applicant (f/m/d) will work on identifying an analytical business case and realizing its implementation by using SAP technologies in Machine Learning Context in combination with SAP BW/4 and SAP Data Warehouse Cloud in combination with SAP HANA.
In the course of the 6 months-stay you will investigate on different implementation approaches for SAP machine learning technologies and develop a concept in order to improve a data transformation process from its core. Within a strong team of business professionals in the realm of Business Intelligence and Data Warehousing you will have the unique opportunity to implement a proof of concept on a realistic business use case to elaborate on the beforehand developed concept.
You will be accompanied by a member of the team to get into the topic, to receive guidance along the Thesis and to get an overview and introduction on the available products and test landscapes. This research is a great opportunity to learn about SAPs business software universe, the capabilities of modern Analytics and Data Management Solutions as well as state-of-the-art machine learning technologies.
SAP Customer Success is looking for a thesis student (f/m/d) on the finishing of his current studies of computer science or similar, with a tendency for technical detail. The applicant (f/m/d) should have basic knowledge of database systems and data analysis. In the area of analytics and data management, SAP offers a broad variety of products and services. The applicant (f/m/d) should be able to quickly adopt the methodology and be able to connect the dots using these products.
An advantage to solve the problem is an expertise in the following area:
- Student (f/m/d) at a university or a university of applied sciences
- Preferred fields of study: Informatics, Mathematics, or similar studies.
- Computer skills: basic overview of SAP software, SQL, programming language basics commonly used at SAP (ABAP, Java, R, Python, TensorFlow).
- Language skills: business level of German and business level of English
- Soft skills: outgoing, communicative, self-reliant and team player
Your set of application documents should contain a cover letter, a resume in table form, school leaving certificates, certificate of enrollment, current university transcript of records, copies of any academic degrees already earned, and if available, references from former employers (including internships).
#Thesis #Thesisstudent #Student #Germany #Deutschland
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