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Working Student Marketing & Sales - Data Science Digital Channels (all genders)

Your role:



Our team supports the Healthcare business in its digital marketing and sales activities. We transform business challenges into digital solutions by combining technical expertise with business understanding. As gathering insights from data becomes increasingly important to the business, we are looking to leverage machine learning for our business. As part of the team you will support the definition, design and implementation of machine learning solutions. This includes hands-on development in support of our team as well as collaborating with the business and other developers.


Who you are:


  • Pursuing a bachelor or master’s degree of Science in Mathematics, Physics, Computer Science or a similar field. 
  • Strong in mathematics and statistics.  
  • Team player collaborating with the business, business architects and other developers.
  • Technical experience is required in the following areas
    • Programming: Python incl. scikit-learn
  • Experience is beneficial in the following areas:
    • Database servers, database programming
    • Programming: JavaScript/Node.js
    • Experience in hands-on implementation of NLP solutions
    • Cloud-Environments: AWS, Google Cloud
    • Software architectures: n-tier, SOA
Job Requisition ID:  188383
Location:  Darmstadt
Career Level:  A - Current Student
Working time model:  part-time

US Disclosure
The Company is an Equal Employment Opportunity employer. No employee or applicant for employment will be discriminated against on the basis of race, color, religion, age, sex, sexual orientation, national origin, ancestry, disability, military or veteran status, genetic information, gender identity, transgender status, marital status, or any other classification protected by applicable federal, state, or local law.  This policy of Equal Employment Opportunity applies to all policies and programs relating to recruitment and hiring, promotion, compensation, benefits, discipline, termination, and all other terms and conditions of employment. Any applicant or employee who believes they have been discriminated against by the Company or anyone acting on behalf of the Company must report any concerns to their Human Resources Business Partner, Legal, or Compliance immediately. The Company will not retaliate against any individual because they made a good faith report of discrimination.

North America Disclosure
The Company is committed to accessibility in its workplaces, including during the job application process. Applicants who may require accommodation during the application process should speak with our HR Services team at 855 444 5678 from 8:00am to 5:30pm ET Monday through Friday.

Job Segment: Database, Cloud, Computer Science, Physics, Technology, Sales, Science

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