Lead Data Scientist - AI/ML for Supply Chain Innovation

Leiden Bio Science Park

Leiden

On-site

EUR 60,000 - 90,000

Full time

14 days+

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Job summary

Leiden Bio Science Park is looking for a skilled Lead Data Scientist for their Johnson & Johnson Innovative Medicine Supply Chain (IMSC) Data Science and AI group. This role involves applying advanced analytics to enhance decision-making in the supply chain. The ideal candidate will have 4–6 years of experience in solving business problems through data science and extensive knowledge of machine learning and AI methodologies.

The successful candidate will collaborate with various teams, implement state-of-the-art AI solutions, and effectively communicate findings to diverse audience.

Qualifications

  • 4–6 years of industry experience in data science.
  • Solid understanding of deep learning foundations.
  • Experience with generative AI techniques.

Responsibilities

  • Collaborate with teams to identify AI opportunities.
  • Experiment and implement innovative AI/ML solutions.
  • Articulate methodologies and present insights to stakeholders.

Skills

Advanced knowledge of machine learning
Natural Language Processing (NLP)
Python programming
Data analysis
Presentation skills
Problem-solving

Education

Bachelor’s degree in statistics, applied mathematics, or computer science
Master’s or PhD in a quantitative field

Tools

Python libraries (Transformers, LangChain, etc.)
Docker
Azure
Elasticsearch

Job description

Leiden Bio Science Park is looking for a skilled Lead Data Scientist for their Johnson & Johnson Innovative Medicine Supply Chain (IMSC) Data Science and AI group. This role involves applying advanced analytics to enhance decision-making in the supply chain. The ideal candidate will have 4–6 years of experience in solving business problems through data science and extensive knowledge of machine learning and AI methodologies.

The successful candidate will collaborate with various teams, implement state-of-the-art AI solutions, and effectively communicate findings to diverse audience.

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