Data Scientist

European Dynamics; Brussel Hoofdstad; Remote; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Remote work within EU

Full benefits package

Job summary

EUROPEAN DYNAMICS is seeking a Data Scientist fluent in English to work remotely within the EU. You will join the Development team and collaborate with a major client’s IT team to deliver data-driven insights and scalable solutions.

The role requires 7+ years of relevant experience across data science, ML/DL, NLP and data engineering, with strong Python and SQL skills, and excellent communication. Equal opportunity employer.

Qualifications

• University degree in IT or relevant discipline with 7+ years of experience.
• Minimum 3 years in data science, data analysis, data visualization and quantitative research.
• 3+ years in statistical analysis, ML/DL model development and evaluation.
• 2+ years in account-based data collection and large-scale social media datasets.
• Proficiency in Python, R, SQL; familiarity with Perl optional.
• Knowledge of ML, DL, NLP (Scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with web scraping, data engineering and data visualization tools.
• Familiarity with Git, JIRA, Confluence, SharePoint; project management software a plus.
• Excellent command of English.

Responsibilities

• Social media data scraping and analysis to study platform features impact on users
• Evaluate effectiveness of recommender systems and algorithms on social media platforms
• Design and run experiments using sock puppet methodologies on data collection
• Design and implement data visualisations to communicate insights to stakeholders
• Provide project support across lifecycle, coordinating with technical teams and leadership

Skills

Data science

Data analysis

Data visualization

Machine learning

Deep learning

NLP

Python

SQL

R

Git

Education

University degree in IT or relevant discipline

Tools

Scikit-learn

TensorFlow

PyTorch

Hugging Face

Confluence

SharePoint

JIRA

Microsoft Project

Git

Job description

We currently have a vacancy for a Data Scientist fluent in English, to offer his/her services as an expert remotely (within EU). In the context of the first assignment, the successful candidate will be integrated in the Development team of the company that will closely cooperate with a major client’s IT team.

Tasks:

• Social media data scraping and analysis to study platform features impact on users;
• Evaluating the effectiveness of different recommender systems and algorithms on social media platforms;
• Designing and implementing experiments with sock puppets methodologies (account-based data collection) to test the impact of recommender systems on users;
• Designing and implementing data visualisations to communicate social media insights to stakeholders;
• Provide comprehensive project support throughout its lifecycle, including the development of work plans and timelines, meetings and stakeholder interactions, tracking of infrastructure requirements and resource allocation, monitoring of tasks progress against milestones and deliverables, and ensuring effective communication between technical teams and project leadership.

• University degree in IT or relevant discipline, combined with minimum 7 years of relevant working experience;
• Minimum 3 years of professional experience in data science, data analysis, data visualisation and quantitative research, including designing and implementing data pipelines, data cleaning and data processing;
• Minimum 3 years of experience in statistical analysis, machine and deep learning model development, and model evaluation;
• Minimum 2 years of experience in account-based data collection, scraping, and working with large-scale datasets from digital or social media sources;
• Knowledge of programming languages (e.g., Python, R, SQL; Perl optional) commonly used in data science for modelling and automation;
• Knowledge of machine learning, deep learning and natural language processing (e.g., Scikit-learn, TensorFlow, PyTorch, Hugging Face);
• Knowledge of web scraping tools and libraries, large scale data collection from social media platforms, including account-based methodologies (e.g., sock puppets);
• Knowledge of data engineering and data visualization tools;
• Knowledge of agile development methodologies and version control systems such as Git;
• Knowledge of project management software such as JIRA and Microsoft Project;
• Knowledge of collaboration and documentation platforms such as Confluence and SharePoint;
• Certifications in Computer Science, Engineering, Statistics, Mathematics, or related field;
• Excellent command of the English language.

We offer a competitive remuneration (either on contract basis or remuneration with full benefits package), based on qualifications and experience. All applications will be treated as confidential.

As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion

EUROPEAN DYNAMICS (www.eurodyn.com)is a leading Software, Information and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Stockholm, London, Nicosia, Hong-Kong, Valetta, etc). The company employs over 1000 engineers, IT experts and consultants (around 3% PhD, 36% MSc and 53% BSc or equivalent). We design and develop software applications using state-of-the-art technology. The group generates annual revenues in the range of EURO 40 million, with an EBITDA in the range of 20%. The value of our contract portfolio exceeds EURO 300 million. EUROPEAN DYNAMICS is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.

EUROPEAN DYNAMICS (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in www.eurodyn.com/privacy. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.