EU - Data Scientist – Brussels - European Goverments

at  The White Team

LEVEL OF EDUCATION:

As stated in the Article 2.6.3.1. of DIGIT-TM II Service requirements, a minimum educational qualification for lot 2 is: Level of education corresponding to Level 6 of the European Qualification Framework which typically corresponds to a bachelor degree of 3 years.

KNOWLEDGE AND SKILLS:

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

• 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). Due to the particular nature of a large international organisation such as the European Commission, candidates should also have the following non-technical skills:
• Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team;
• Ability to participate in multilingual meetings;
• Ability to work in multi-cultural environment, on multiple large projects;
• Excellent Team Player
• Ability to understand, speak and write French (B1/B2) will be an advantage;
• High degree of discretion and integrity is required as the applications managed and maintained in DIGIT.A.4 may contain personal and confidential data.

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.

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

• 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). Due to the particular nature of a large international organisation such as the European Commission, candidates should also have the following non-technical skills:
• Capability of integration in an international/multicultural environment, rapid self-starting capability and experience in working in team;
• Ability to participate in multilingual meetings;
• Ability to work in multi-cultural environment, on multiple large projects;
• Excellent Team Player
• Ability to understand, speak and write French (B1/B2) will be an advantage;
• High degree of discretion and integrity is required as the applications managed and maintained in DIGIT.A.4 may contain personal and confidential data