Data Scientist

DESCRIPTION OF THE TASKS:

Following tasks will be performed by external service provider:

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

• 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.

LEVEL OF EDUCATION

Bachelor or Master Degree

KNOWLEDGE AND SKILLS:

• Very good knowledge of the involved Mathematics and Statistics (Linear algebra, Calculus, Probability theory, Statistics, hypothesis testing, Optimization techniques, etc.).

• Very good knowledge of programming in Python and/or R.

• Very good experience with data manipulation: Analysis techniques, ability to clean, pre-process, and transform data.

• Very good experience with data visualization using tools like Matplotlib, etc.

• Very good knowledge of ETL (Extract, Transform, Load) processes and techniques.

• Hands-on experience with various machine learning algorithms, including supervised, unsupervised, and reinforcement learning.

• Experience with model evaluation, selection and validation techniques.

• Knowledge of deep learning and neural networks.

• Experience with RDBMS like Oracle (latest version).

• Understanding of NoSQL databases like MongoDB or Cassandra.

• Knowledge of NLP techniques and libraries like NLTK, spaCy, or Transformers.

• Awareness of involved ethical considerations in data collection and analysis.

• Knowledge of applicable data privacy laws and regulations.

• Ability to give business and technical presentations.

• Ability to apply high quality standards.

• Ability to cope with fast changing technologies used in the domain of Data Science.

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

• Ability to convey complex findings to both technical and non-technical stakeholders.

• Storytelling with data: Presenting insights in a compelling and understandable way.

• Analysis and problem-solving skills.

• Capability to write clear and structured documents/reports.

• Very good knowledge of English (both written and oral).

Level 5 to 10

Deliver mode: Near Site (Brussels)

Deadline: 06/08/2024 at 11:30 AM (CET)