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Data Scientist – Algorithm Development

Job in 3090, Rotterdam, South Holland, Netherlands
Listing for: Arboretica
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 120000 EUR Yearly EUR 90000.00 120000.00 YEAR
Job Description & How to Apply Below

This position will lead the algorithm development task on various research or client-facing topics. The role is expected to be a thought leader of the company on algorithm development. The position will work closely with the data analyst and lead technical conversations with clients from world leading NGOs, think tanks, and environmental service agencies.

Requirements
  • Develop and improve natural language processing, network intelligence and other machine learning models for various research and client-facing projects.
  • Organize and conduct model training, testing and other machine learning activities.
  • Conduct statistical analyses of data and research for scientific publications, project briefs, and other communication materials (e.g., blogs, conference briefs).
  • Collaborate with external research partners, in close coordination with counterparts
  • Present publicly both internally and externally about our latest technical research.
  • Other duties as assigned.
Education and Experience
  • Graduate of a master’s degree in a relevant field (e.g., statistics, data science, or other related degree).
  • 5 years of experience in machine learning, predictive modeling and other related data science research work.
  • Strong understanding of natural language processing (NLP) is a must.
  • Programming in Python a must.
  • Strong analytical skills with a “can-do” spirit.
  • Superior research, and communication abilities.
  • Strong motivation to solve new challenges.
  • Independent judgment and creativity.
  • Ability to work in a multi-disciplinary team with diverse skillsets.
  • Time management, organization, attention to detail, and general professionalism are essential.
  • An excitement and willingness to further improve all of these skills.
  • Demonstrated potential for professional and academic leadership.
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