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Data Scientist (all genders)
  • Python
  • Spark
  • SQL
  • Java
  • Machine Learning
  • Matlab
  • Database
  • Modeling
  • Hadoop
Merck KGaA
64293 Darmstadt
149 days ago

Your role:

As a Data Scientist (all genders) you will strengthen our digital business unit, which drives the digital transformation for our company on a global level and across business divisions – leveraging cutting edge technology to reach new customers, improve operational efficiency, and to create entirely new business models. The Data Scientist (all genders) is expected to contribute to projects individually in a mostly self dependent way with little guidance from more senior colleagues. Core tasks include the mathematical modeling of our business problems, development of algorithms and applications to solve these problems, and communication with our internal customers to help them understand and implement the results.

You will be working in an interdisciplinary high-performance team that is focused on innovation in the intersection of business, mathematics and digital technology. This also includes the opportunity to expand your skills in a scientific, technical and business dimension at the same time but also offers an intellectual challenge to solve some of the most complex problems in the industry and innovate on entirely new digital business models.

Your qualifications:

  • Successfully completed Master studies in Mathematics, Physics, Computer Science or a similar field with work experience or a Ph.D.
  • Technical experience in some of the following fields: Mathematical modelling (e.g. Matlab, R, Pytorch, TensorFlow), programming (e.g. Java, Python, C/C++), software architectures (e.g. n-tier, SOA) and/or database servers and data processing (e.g. SQL, Spark, Hadoop).
  • Strong skills in mathematics, statistics and machine learning with software development experience.
  • First project management experience is a plus.
  • Fluent in English and German.
Job Requisition ID: 205915Location: DarmstadtCareer Level: C - Professional (1-3 years)Working time model: full-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.

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