Thesis Student - Zurich, Schweiz - SAP

SAP
SAP
Geprüftes Unternehmen
Zurich, Schweiz

vor 2 Wochen

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter


Beschreibung

We help the world run better

What you'll do
You will work with our research team to further develop a prototype for replenishment planning in the retail industry.

You will look into an optimization problem to determine order quantities for a set of products with respect to multiple constraints and cost functions.

Your main task will be to investigate different solution strategies, i.e. solving the problem holistically vs. a sequence of sub-problems, with regards to solution quality and runtime.


What you bring

  • Student (f/m/d) at a university or a university of applied sciences
  • Preferred fields of study: Computer Science, Operations Research, Statistics
  • Computer skills: Python, objectoriented programming
  • Language skills: fluent in writing and speaking English, speaking German as a plus
  • Soft skills: Enjoy collaborative work, show initiative and feel responsible for your work and your team
  • Others: Prior experience in mathematical modelling of optimization problems and statistical analysis is a plus

Meet your team


Expect a dynamic, collaborative and open-minded team of Data Scientists, Developers and Product Managers who are always eager to learn from and support each other to get the job done and deliver value to our customers.

- #Thesis student#Switzerland #Schweiz #Student_


We build breakthroughs together

We win with inclusion


SAP's culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best.

At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential.

We ultimately believe in unleashing all talent and creating a better and more equitable world.


EOE AA M/F/Vet/Disability:


Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, age, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability.


Requisition ID:
|

Work Area:
Software-Research |
Expected Travel: 0 - 10% |

Career Status:
Student |

Employment Type:
Limited Full Time | #LI-Hybrid.

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