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Data Scientist

Eddyfi/NDT

Eddyfi/NDT

Data Science
Stutensee, Germany
Posted on Sep 16, 2025

Purpose:

The goal of the Data Scientist is to improve accuracy and efficiency of data analysis through the research and implementation of data-driven algorithms and methodologies.

Responsibilities

  • Researches and implements algorithms for improving data analysis accuracy and/or efficiency
  • Tests and performs statistical analysis to evaluate developed solutions
  • Ensures quality of the developed algorithms by software testing and/or code reviews
  • Writes documentation of developed solutions and ensures knowledge transfer
  • Keeps up to date with development practices in the industry
  • Supports daily business with short-notice feasibility studies or data fixes
  • Other duties as assigned

Qualification and work experience

  • A bachelor's degree in computer science, Engineering, Natural Sciences or Mathematics is required
  • A master's degree in computer science, Engineering, Natural Sciences or Mathematics is preferred
  • A PhD in Computer Science, Engineering, Natural Sciences or Mathematics is preferred
  • 2 years of work experience in similar roles
  • Experience working contributing to research and/or data science projects
  • Advanced knowledge on statistical analysis and high abstraction and synthesis level
  • Experience in scientific programming and data analysis
  • Knowledge in Data Science and Machine Learning (feature engineering, supervisors and unsupervised learning)
  • Experience communicating with experts and non-experts on scientific problems and results
  • Advanced programming skills in python

Skillset

  • Must be proficient in spoken and written English, local language is a plus
  • Excellent problem-solving skills and a curious mindset
  • Strong communication skills and ability to collaborate in a team environment.
  • Eagerness to learn and adapt to new technologies and methodologies.
  • Friendly and approachable demeanor, fostering a positive work environment.
  • Passion for data science and a genuine interest in exploring new ideas and concepts