Senior Data Scientist

Business et Decision, an Orange Business Services affiliate since 2018, is looking for a collaborator to reinforce its Data Sciences practices. You already have some experience, and you are able to propose and develop advanced analytical models? If you are looking for a new challenge with a diversity of client and industries, then you should probably keep on reading! 

Position and missions

As a Data Scientist, you develop algorithms for recommendation engines. You also develop time series and use deep learning methods on information. You are familiar with the concepts of, for instance, regression analysis, supervised and unsupervised learning, etc… 

At B&D, your job will be to propose and develop advanced analytical models for a series of different clients and industries like life sciences, media, public, banking, insurance and others.  

Profile

We challenge you to directly apply if you recognize yourself in some of the following attributes. See you soon! 
  • A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field 
  • 2-5 years relevant experience in data science / data analysis / data mining 
  • Passionate about data and/or statistical analysis, with mathematics and modelling skills 
  • Experience in at least one of the following sectors: Banking, Finance, Risk, Marketing, Customer Intelligence, Life Sciences 
  • Experience with SQL 
  • Some experience with data visualisation tools (Power BI, Tableau, ...) is a plus 
  • Experience with applying regression, classification, clustering/ segmentation, time-series forecasting, anomaly detection or predictive maintenance is a must 
  • Proficiency in data sourcing (web-scraping, API, etc.), data transformation and data preparation techniques 
  • Excellent programming knowledge in Python, R  
  • Good coding practices and code refactoring experience is an advantage 
  • Interest in machine learning, deep learning and/or MLOps 
  • Experience using Cloud Data Platforms (Azure, GCP, ...) for Data Science projects is a plus 
  • Ability to understand the business requirements and develop new/existing algorithms to satisfy those requirements 
  • Strong communication and presentation skills 
  • Being able to explain technical concepts to a non-technical audience and explainable AI is an advantage 
  • Conceptual and creative thinking 
  • A plus: Hands on experience in Enterprise Intelligence (e.g., Data Warehousing, Data Management, Business Intelligence, Analytics, Big Data ecosystem) 
  • Fluent in English and French and/or Dutch