Data Scientist

Seidor
Brussels, Belgium
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Brussels, Belgium

Tech stack

Artificial Intelligence
Data analysis
Big Data
Data Cleansing
Information Engineering
Python
Machine Learning
Pattern Recognition
Power BI
TensorFlow
Tableau
PyTorch
Retrieval-Augmented Generation
Spark
Keras
Scikit Learn
Splunk
Data Pipelines
Databricks

Job description

We want you to be a part of our team, from Brussels, as a Data Scientist (Duration of the contract: 120 days )

WHAT WILL YOU DO IN YOUR DAY-TO-DAY?

  • Analysing business and customer needs

  • Performing data cleaning, preparation and quality checks

  • Building and maintaining Python data pipelines

  • Creating and maintaining Power BI dashboards

  • Identifying patterns, trends and actionable insights

  • Developing data models

  • Training, deploying and monitoring machine learning models

  • Supporting the integration of ML models into products and services

  • Documenting requirements, changes and deliverables.

Requirements

That's why we are looking for curious individuals who are motivated by challenges and eager to grow personally and professionally, to join our team and make a positive impact on the world through technology., * Degree based on at least four years of study in ICT, STEM or a related field

  • Minimum 8 years of professional experiencein ICT
  • Minimum 4 years of professional experience as a Data Scientist
  • Strong experience with Python and/or R
  • Experience with Power BI and/or Tableau
  • Knowledge of one or more Big Data technologies such as Spark, Databricks, Splunk orHadoop
  • Experience with machine learning frameworks such as Scikit-learn, TensorFlow, Keras or PyTorch
  • Familiarity with Retrieval-Augmented Generation, RAG
  • Experience in data modelling, data quality, machine learning deployment and monitoring

Certifications are not mandatory, although certifications or strong hands-on experience in Python, Power BI, AI/ML, Big Data or data engineering will be considered an advantage.

Apply for this position