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Vivid Resourcing

Data Scientist

Vivid Resourcing
Netherlands · Full-time · Mid-Senior

I'm partnered with a large manufacturing company based around the Randstad region hiring for a Data Scientist.


Working closely with cross-functional teams, you will leverage your expertise in data analysis, machine learning, and statistical modeling to extract insights, solve complex problems, and inform decision-making. This is an exciting opportunity to be part of a dynamic scale-up company at the forefront of ethical AI innovation.


Key Responsibilities:

  • Collect, clean, and preprocess data from various sources to ensure accuracy, completeness, and consistency.
  • Apply advanced statistical techniques and machine learning algorithms to analyze data and extract actionable insights.
  • Stay current with the latest research and developments in the fields of data science, machine learning, and AI ethics, and contribute to the company's knowledge base and best practices.
  • Adhere to ethical principles and guidelines in the development and deployment of AI systems, ensuring fairness, transparency, and accountability.


Qualifications:

  • Master's degree in Computer Science, Statistics, Mathematics, or a related field with a focus on data analysis and machine learning.
  • 3+ years of experience working as a Data Scientist or a similar role, preferably in a fast-paced and collaborative environment.
  • Proficiency in programming languages such as Python, R, or Java, as well as experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
  • Effective communication and collaboration skills, with the ability to work independently as well as part of a multidisciplinary team.
  • Passion for ethical AI and a commitment to promoting fairness, transparency, and accountability in AI systems.


Benefits:

  • Gross salary: €80,000+
  • Company Car + fuel card.
  • Opportunities for professional development and career advancement.
  • A supportive and inclusive work environment that values diversity, equity, and inclusion.


Feel free to contact for more details:

Email: [email protected]

Key Skills

Ranked by relevance

ai machine learning data analysis python pandas numpy java
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Posted
Jun 18, 2025
Type
Full-time
Level
Mid-Senior
Location
The Randstad

Industries

Data Infrastructure Analytics Climate Data Primary Metal Manufacturing

Categories

Research Information Technology Product Management

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