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The businesses of Merck KGaA, Darmstadt, Germany

Data Scientist

The businesses of Merck KGaA, Darmstadt, Germany Seoul, South Korea

Pharmaceutical Manufacturing · 10,001+ employees

Aug 15
data-scientist Mid (2-5 yrs) Full-time South Korea
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About the role

You will develop AI solutions and implement robust tools on internal data platforms to support the Integrated Supply Chain business. This involves collaborating with cross-functional teams to translate business requirements into effective technical designs.

What they look for

Data Science Python Machine Learning Time Series Forecasting Simulation Optimization Generative AI Palantir Foundry AWS Cloud Computing ML Engineering CI/CD Supply Chain Management Data Analytics Rapid Prototyping Stakeholder Management

Requirements

Candidates must hold a Bachelor or Master degree in a technical or scientific field and possess at least 2 years of professional data science experience. Proficiency in Python and experience with cloud-based ML stacks are required, along with excellent communication skills.

Full description

Your role:

You want to develop AI solutions that have a tangible impact on our Electronics business?

Join our international team of digital experts as a Data Scientist! In this role, you will work on transformative use cases achieving measurable impact for our Integrated Supply Chain business functions. You will help translate business requirements into the right solution design and implement effective and robust tools on our internal Data & Analytics platform powered by Palantir Foundry and AWS. Throughout the use case journey, you will collaborate closely with other digital roles (product owners, data analysts, data engineers) and domain experts. As part of a broader team of Data Scientists within our department, and an active community of digital and AI experts across our company, there are many opportunities to grow and continuously learn from each other.

 

Who you are:

  • Bachelor or Master in Computer Science, Mathematics, Physics, Chemistry, Engineering, Operations Research, or a similar field
  • 2+ years of professional experience applying Data Science outside academia, preferably in Supply Chain related fields
  • Proficiency in English is a must, knowledge of Korean, Japanese, or Mandarin is a plus 
  • Good knowledge in a broad range of Data Science methods (for example, tabular data ML, time series forecasting, simulation & optimization, generative AI) with hands-on experience in some areas
  • Very good coding skills in Python with experience in collaborative development and rapid prototyping
  • Initial experience in building end-to-end applications with basic knowledge in cloud-based stacks for ML Engineering and CI/CD
  • Excellent communication skills to interact with diverse stakeholders and ability to present complex technical concepts to non-expert audiences, paired with a curious mindset and a spirit of taking initiative

 

 

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