Data Scientist

il y a 2 jours

Laeken, Belgique Engineering International Belgium Temps plein

We are looking for a skilled Data Scientist to play a key role in managing, analyzing, and leveraging complex datasets for large-scale digital initiatives. This position is with an EU Body , preferably for candidates with experience in data management in the transportation sector. The role involves contributing to projects that have a European-scale impact within a multi-cultural team environment . Mandatory Qualifications - Master’s degree in Engineering, Computer Science, or an equivalent technical field. - Minimum of 3 years of professional experience in a relevant role. - Strong command of English (C1 level), knowledge of French is considered a plus. Skills & Competencies - Experience working with operational or technical datasets. - Proficiency in Excel, Power BI, and other business intelligence tools. - Strong programming skills in Python, C++, SQL, or equivalent languages. - Experience with Machine Learning, Natural Language Processing, and data analytics techniques and tools. - Experience working with data for European projects is an asset. - Ability to analyze, structure, and interpret data effectively. - Strong problem-solving skills, attention to detail, and ability to work both independently and as part of a team. - Results-oriented mindset with a focus on high-quality delivery. Key Responsibilities - Collect business requirements and develop advanced data mining solutions, or identify, assess, and deploy relevant existing data mining, machine learning, and business intelligence solutions. - Specify and design presentation interfaces with optimal usability and user experience. - Identify, collect, convert, and update different data types and datasets across various sources/locations (ETL processes). - Produce data models aligned with specific problem statements. - Perform scripting and programming to support data workflows, analytics, and automation. - Contribute to the design and implementation of the analytics architecture and the overall solution stack, including performance, physical design, and capacity considerations. - Write documentation associated with assigned tasks and coordinate with other project teams to address cross-project dependencies. - Apply knowledge in areas such as predictive analytics, prescriptive analytics, sentiment analysis, topic detection, social media crawling/processing, plagiarism detection, anomaly detection, and recommendation systems. If you would like to apply, please send your CV in English, via Linkedin. 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.

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