Data Scientist

EUROPEAN DYNAMICS
•Remote

About The Position

The Data Scientist will provide expert services remotely within the EU and join the company’s Development team, working closely with a major client’s IT team. The role focuses on collecting and analyzing social media data to study platform features and their effects on users, assessing recommender systems, and communicating findings to stakeholders through data visualizations. It also includes project support across the project lifecycle, from work planning and coordination to monitoring progress and communicating between technical teams and project leadership.

Requirements

  • University degree in IT or a relevant discipline, combined with at least 7 years of relevant work experience.
  • At least 3 years of professional experience in data science, data analysis, data visualization, and quantitative research, including designing and implementing data pipelines, data cleaning, and data processing.
  • At least 3 years of experience in statistical analysis, machine and deep learning model development, and model evaluation.
  • At least 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 commonly used in data science for modeling and automation, such as Python, R, and SQL; Perl is optional.
  • Knowledge of machine learning, deep learning, and natural language processing tools and frameworks, such as Scikit-learn, TensorFlow, PyTorch, and Hugging Face.
  • Knowledge of web-scraping tools and libraries, large-scale data collection from social media platforms, and account-based methodologies such as 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.
  • Excellent command of English.

Nice To Haves

  • Certifications in Computer Science, Engineering, Statistics, Mathematics, or a related field.

Responsibilities

  • Scrape and analyze social media data to study the impact of platform features on users.
  • Evaluate the effectiveness of recommender systems and algorithms on social media platforms.
  • Design and implement experiments using sock-puppet methodologies and account-based data collection to test recommender systems’ effects on users.
  • Design and implement data visualizations to communicate social media insights to stakeholders.
  • Support projects throughout their lifecycle, including developing work plans and timelines, arranging meetings and stakeholder interactions, tracking infrastructure requirements and resource allocation, monitoring progress against milestones and deliverables, and maintaining effective communication between technical teams and project leadership.

Benefits

  • Competitive remuneration based on qualifications and experience, either on a contract basis or with a full benefits package.
  • Opportunity to work in an international, multilingual, and multicultural environment as part of a team serving a major European Institution.
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