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Salary
≈ $13k – $38k per year (Estimated)
Location
In office (Taipei)
Seniority
Junior · 2+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Sep 20, 2026.

Overview
Company
Impact
Profile match
EMD Group is the name used in the United States and Canada by Merck KGaA, the science and technology group headquartered in Darmstadt, Germany, whose businesses cover healthcare, life science and electronics. Founded in 1668 and still majority-owned by the Merck family, the group operates in North America through EMD Serono, MilliporeSigma and EMD Electronics, with major sites in Burlington and Billerica in Massachusetts and Saint Louis in Missouri. Its board lists manufacturing technicians, process and quality engineers, data engineers and scientists, finance analysts and shared-service roles in Bengaluru, Manila and Tokyo.

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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