Data Scientist

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.

Requirements

• 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.

Benefits

If you are seeking a career in an exciting and dynamic company, where you will offer your services as part of a team of a major the company Institution, operating in an international, multilingual and multicultural environment where you can expect real chances to make a difference, please send us your detailed CV in English, quoting reference: (21652/11/2026).

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.

You may also consider all our other open vacancies by visiting the career section of our web site ( [link for members] and follow us on Twitter (@EURODYN_Careers) and LinkedIn.

The company ( [link for members] )  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. The company is a renowned supplier of IT services to government institutions, multinational corporations, public administrations and multinational companies, research and academic institutes.

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

The company (ED) adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in [link for members] 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.