Data Scientist

☞ Anankei

View: 135

Update day: 12-11-2025

Location: Brussels Brussels Capital

Category: IT - Software IT - Hardware / Networking Information Technology Production / Operation

Industry:

Job type: Vaste Jobs, Freelance

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Job content

Function type:
Freelance - Vast
Location:
Brussels

Duration:
long term
Reference:
202209292

Start:
31/01/2022

One of our Customers in the telecom business, is looking for Data Scientists to reinforce the team.

You will be part of the Advanced Analytics Center of Expertise, a centralized team of data scientists that is supporting the Customers group. As a Data Scientist, you will transform data into actionable insights that drive operational processes or influence strategic decisions. In collaboration with the business and the data engineers of the team you will define the data to be used & the features to be created. You will then build machine learning prototypes and iteratively improve the models until performance are good enough to deploy it to production. You will then collaborate with the data engineer to integrate the models in existing processes, design proper feedback loop for future retraining and model improvement as well as implement monitoring guards to automatically spot model performance drifts.


You will be trusted to
  • Translate business requests into data requirements, extract the required structured and unstructured data from the data lake, data warehouse and other data sources (e.g. operational systems) and prepare large-scale datasets for modelling with the help of data engineers.
  • Identify high-value use cases through data exploration and visualization.
  • Develop predictive models using state-of-the-art machine learning and statistical methods.
  • Pilot prototypes in production processes to demonstrate their value.
  • Deploy prototypes to production, with support of data engineers, to obtain reliable, scalable systems.
  • Present your results in a clear manner and discuss them with multi-functional agile project teams.
  • Work in close collaboration with business experts (e.g. for requirement gathering, data source identification, data and process understanding, feature engineering, result validation, etc.), with data engineers (e.g. for ETL, deployment to production, etc.) and with other data scientists in the team (e.g. for knowledge sharing).

Requirements

Requirements
We are looking for strong candidates with the following academic and professional experiences :
  • PhD or Master’s degree in a quantitative field (Artificial Intelligence, Computer Science, Engineering, Statistics, Mathematics, etc.)
  • 3+ years of relevant work experience in a business environment
  • Strong knowledge of state-of-the-art machine learning and statistical methods.
  • Hands-on experience with data science technologies such as Python, SQL and hadoop ecosystem.
  • hands-on proficiency with pandas, sklearn, statsmodels, scipy, h2o
  • Experience with big data technologies (e.g. Spark, Hadoop, Hive).
  • Experience with deep learning (e.g. Tensorflow, PyTorch) & reinforcement learning is a plus.
  • Proven proficiency in the end-to-end data science project life cycle, including:
  • Translating business requests into data requirements.
  • Identifying high-value use cases through data exploration and visualization.
  • Developing machine learning solutions (incl. feature engineering, model fitting, etc.).
  • Deploying scalable machine learning applications to production.
  • Any experience with following elements is big plus:
  • MLOps (CI/CD) - e.g. Airflow, mlflow, Oozie, gitlab runners, jenkins
  • API creation
  • Any experience with cloud technology (AWS, Azure)
  • real-time streaming (kafka, Elasticsearch)
  • Basic knowledge of Scala

Your Profile

  • Passionate & curious about data science & new techniques / tools and a constant learner
  • You are an excellent problem analyser and solver
  • Result-oriented and highly proficient in transforming data into actionable insights that create business value
  • You’re open minded , collaborative, team player with strong communication and presentation skills
  • Able to manage data science projects in an autonomous way and to drive collaboration with domain experts, data engineers and other data scientists
  • Experience in telecom sector is a plus
  • Experience with an agile way of working is a plus
  • Languages : English (very good in reading, writing, speaking) is a must
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Deadline: 27-12-2025

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