Data Scientist

• 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.

What they ask

• 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.