Data Scientist

CV Submission deadline: 28/02/2025

Location: Belgium, Near- Site

VASS is actively looking for a Data Scientist expert in AI & NLP and with some Business Analysis background to work for our client the European Commission remotely from Belgium.

DESCRIPTION OF THE TASKS

Following tasks will be performed by external service provider:

• Collect business requirement and analyse advanced AI solutions or identify and assess relevant existing data mining, machine learning and business intelligence solution

• Specification and design of presentation interfaces with optimal usability/user experience

• Produces data models according to specific problems statements.

• Contribute to the design and implementation of the analytics architecture and its solution stack (including performance aspects, physical design, capacity dimensions etc…)

• Write the different documentation associated with the tasks and liaise with other project teams as necessary to address cross-project interdependencies.

• Interact with data stewards and other IT stakeholders to define the data rules;

• Define data controls and implement actions to ensure data quality and integrity;

• Creating automated anomaly detection systems and constant tracking of its performance;

• Data mining using state-of-the-art methods;

• Processing, cleansing, and verifying the integrity of data used for analysis

• Participate in the design of the IT architecture for solutions in the NLP / ML / AI fields, and coordinate its implementation considering master- and meta-data management concepts;

• Analyse data architecture for consistency, completeness, accuracy and reasonableness;

• Contributing for the analysis of data management vision, strategy and policy and derive the IT requirements;

• Analysis of Business requirements.

• Documentation of Business requirements.

• Business model analysis.

• Business process analysis.

• Business processes modelling

• Functional requirements and business cases analysis.

• Risk analysis.

• Assistance in Business cases, Vision documents, Project Charters and Security Plans.

KNOWLEDGE AND SKILLS

Following skills and knowledge are required for the performance of the above listed tasks:

• Bachelor's degree in Computer Science, Business Administration or related field.

• At least 13 years of work experience gained after studies.

• Good knowledge of natural language processing systems lifecycle and agile software development methodologies.

• Experience in the field of corpus-based linguistics.

• Experience with alignment models and classification methods.

• Experience with data analytics over big datasets, non-structured databases as well as data lakes.

• Good knowledge of information systems matters.

• Good knowledge of large organisation administrative business processes.

• Good knowledge of analysis/modelling tools and techniques (use case diagram, state diagram, entity relationship model, interaction diagrams etc.).

• Good knowledge of BPMN or UML or other with equivalent value.

• Good knowledge of Wiki and collaborative sites.

• Knowledge of software development methodologies (e.g., RUP, Agile).

• Excellent knowledge of Data Analytics techniques and tools.

• Experience in Machine Learning and Natural Language Processing.

• Experience with languages like R, Python, PERL.

• Good knowledge of business intelligence tools (Tableau, Qlik, SAS, SAP, GoodData…)

• Expertise in the ETL processes and tools (SAS, Talend Open Studio…)

• Good knowledge of SQL tooling (NoSQL DB, MongoDB, Hadoop, SQL) • Knowledge of architectural design and implementation of scalable modern data stores.

SPECIFIC EXPERTISE

• Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks.

• Knowledge of Large Language Models.

• Knowledge in one 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

• Knowledge of Graph Databases.

If you are interested, please don't hesitate to submit your application before the deadline.