We're looking for a skilled Data Scientist to join an international data science team supporting cutting-edge digital transformation and AI-driven research projects.

In this role, you'll work on advanced data processing, analytics, and visualization solutions --- transforming complex datasets into actionable insights.

Main Requirements

Excellent and proven knowledge in Python 3, package managers (PIP, Conda) and Jupyter. Knowledge of R is a valuable asset.
Excellent and proven knowledge in Elasticsearch and good knowledge of the other Elastic Stack components (Kibana, Beats & Logstash)
Excellent and proven knowledge of SQL tooling (RDBMS, NoSQL)
Excellent knowledge of Data Analytics techniques and tools
Proven knowledge in Natural Language Processing (NLP), Neural Networks and Deep learning libraries, and Classical Learning (e.g. Pattern search, Clustering, Classifications) algorithms
Proficient in continuous code delivery and unit testing.
Knowledge of business intelligence tools (e.g. PowerBI, Tableau, SAS, SAP, GoodData...)
Knowledge of ETL processes and tools (e.g. Pentaho Data Integration or Talend Open Studio...)
Knowledge of architectural design and implementation of scalable modern data stores.
Knowledge in at least three of the following areas: predictive (forecasting, recommendation), prescriptive (simulation), sentiment analysis, topic detection, social media crawling and processing, plagiarism detection, trends/anomalies detection in datasets, recommendation systems
Ability to write, debug and validate code and results, to learn new approaches and technologies and to scout for new solutions efficiently and fast.

List of Responsibilities

To collect business requirements and develop advanced data mining solutions or identify, assess and deploy relevant existing data mining, machine learning and business intelligence solutions
To define specifications and design presentation interfaces with optimal usability/user experience
To identify, collect, convert, combine and update different data types/sets in several locations (e.g. scripting and ETL)
To produce data models according to specific problems statements
Scripting and programming, and related testing
Data validation, and subsequent code debugging or recommendation for improvement on methodology
To contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc...)
To write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies
Interaction with the business analysts, customer, users, project leaders and developers

If you are interested, please read carefully the privacy policy available here and submit your application by attaching your CV. We remind you that, pursuant to Article 111-bis of the Privacy Code, it is not necessary to obtain authorization for the processing of personal data contained in your CV.