Data Scientis L4 - Deadline 18/03/26

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

• Specification and design of presentation interfaces with optimal usability/user experience • Identify, collect, convert and update different data types/sets in several locations (e.g. ETL)

• Produces data models according to specific problems statements.

• Scripting and programming.

• 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.

• Participation in technical working groups, progress meetings and meetings with stakeholders and users.

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

• Ability to work autonomously, managing his/her own workload independently, providing status updates, liaising with others and escalating issues as appropriate.

• Teamwork skills, including ability to work in a friendly, organised, and well-structured manner also under pressure.

• Results-oriented mindset, focused on delivering

• Ability to prioritise efficiently and fast.

• Ability to give business and technical presentations.

• Ability to apply high quality standards.

• Ability to cope with fast changing technologies used in OLAF.C.3.

• Excellent communication skills with technical and non-technical audiences.

• Analysis skills and problem-solving attitude and skills.

• Capability to write clear and structured technical documents.

• Ability to participate in technical meetings.

Following specific expertise is mandatory for the performance of tasks:

• Knowledge of data analytics techniques and tools

• Knowledge in statistical analysis, network analysis and text mining

• Knowledge in data management

• Knowledge in SQL databases and tooling (PostgreSQL)

• Knowledge in business intelligence and visualisation tools (Tableau)

• Knowledge in graphical information geographic information systems

• Knowledge of R and experience in web application development with R Shiny apps

• Knowledge in web development (CSS, HMTL, JavaScript)

• Knowledge in search engine optimisation

• Excellent knowledge and proven professional experience in the use of Microsoft Office Tools (Word, Excel, PowerPoint), Microsoft SharePoint and Microsoft Teams

• Excellent knowledge and proven professional experience in large organisation administrative business processes.

• Excellent knowledge and proven professional experience in the facilitation of meetings.

• Excellent knowledge and proven professional experience in performing trainings and workshops.

• Excellent knowledge and proven professional experience with reporting methods.

• Excellent knowledge and proven professional experience in the irregularities management and antifraud domain.