Senior Data Scientist

Il y a 2 mois


Brussels, Belgique HNM Solution Temps plein

**Language:Dutch**

**Description**:

- Solving complex (business) issues related to large amounts/complex data in close collaboration with Opgroeien. Providing advice on possible (business) solutions based on interpretations, models and visual representations of analyses, both in the context of data mining and text mining.

**Desired level of education**:

- A university degree ( Licenciate /Master), preferably in computer science/statistics/mathematics and with a special interest in data (modeling, mining, analytics ,... ), machine learning or Artificial Intelligence. Minimum 4 years of practical experience in data mining and text mining

**Desired Knowledge**:

- Extensive knowledge of tools, technologies and methodologies in the field of data and text mining and in the field of structured and unstructured data (such as Python, R, AWS, Salesforce, Azure, Hadoop, SAS, Oracle, Matlab, SPSS).
- Statistical and mathematical methods around data analysis and analytics ( self-organizing maps, association rule mining, neural networks, linear/logistic regression,).
- Oracle 19, PostgreSQL and Salesforce
- Windows Server Operating Systems
- SQL
- Knowledge of DWH concepts

**Experience**:

- Extensive experience with tools, technologies and methodologies in the field of data and text mining and in the field of structured and unstructured data (such as Python, R, AWS, Salesforce, Azure, Hadoop, SAS, Oracle, Matlab, SPSS).
- Particularly extensive experience with Python and Amazon Web services (AWS) and Salesforce.

**General Skills**:

- Dutch speaking.
- Good team player who can motivate and guide other colleagues to achieve optimal results.
- Communication skills.
- Result orientation.
- Be prepared to work overtime and weekends if necessary.
- Interest in and empathy with the business matters of client.

**Responsibility**
- Project member

**Job Types**: Full-time, Permanent contract, Freelance

**Language**:

- Dutch (required)

Work Location: In person


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