Data Scientist

☞ AMA European Consulting

見る: 125

更新日: 03-12-2025

場所: Brussels Brussels Capital

カテゴリー: IT-ソフトウェア IT-ハードウェア/ネットワーキング 情報技術

業界:

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仕事内容

We are looking for a talented and experienced Data Scientist to join our team. As a Data Scientist, you will play a crucial role in leveraging data to drive actionable insights and support data-driven decision-making across the organization. You will work on diverse data sets, tackle complex business problems, and employ advanced analytical techniques to extract valuable insights.

Responsibilities:

  • Collect, clean, and preprocess structured and unstructured data from various sources.
  • Apply statistical analysis, data mining, and machine learning techniques to uncover patterns, correlations, and insights within the data.
  • Collaborate with cross-functional teams to integrate models into production systems or business processes.
  • Continuously monitor and evaluate model performance, making improvements
  • Create clear and visually appealing data visualizations, reports, and dashboards to effectively communicate complex analytical findings to stakeholders.
  • Collaborate with business teams to understand their data needs and provide actionable insights that support decision-making processes.
  • Present findings and recommendations to technical and non-technical audiences in a concise and understandable manner.
  • Optimize data infrastructure and architecture for efficient storage, retrieval, and analysis of large-scale data sets.

Qualifications:

  • Strong programming skills in languages such as Python, R, or SQL.
  • Proficiency in data manipulation and analysis using libraries such as pandas, NumPy, or SQL.
  • Solid understanding of statistical analysis, experimental design, and hypothesis testing.
  • Excellent problem-solving skills and the ability to handle and analyze complex and large-scale data sets.
  • Strong communication and collaboration skills to work effectively with cross-functional teams.

Job Type: Full-time

Experience:

  • Data Analysis: 1 year (Preferred)

Work Location: In person

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締切: 17-01-2026

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