Data Analyst for Societal Research

hace 5 días


Barcelona, Barcelona, España Barcelona Supercomputing Center (Bsc) A tiempo completo
About the Role

We are seeking a talented Data Analyst to join our team at the Barcelona Supercomputing Center (BSC). As a key member of our Computational Social Science program, you will play a crucial role in applying advanced computational methods to drive insights in societal research.

Responsibilities
  • Analyze and interpret complex datasets from various sources, including official statistics, surveys, social media, news, laws, historical archives, and government data.
  • Employ statistical models, AI/Machine Learning, Large Language Models (LLMs), Agent-Based Modeling (ABM), and Social Network Analysis (SNA) to uncover valuable insights.
  • Collaborate with social scientists and computer scientists to develop innovative approaches and apply them to real-world problems.
  • Contribute to the development of policies and interventions by providing actionable recommendations based on your findings.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Sociology, or a related field.
  • Excellent programming skills in languages such as Python, R, or Julia.
  • Proficiency in using machine learning libraries and frameworks, such as scikit-learn or TensorFlow.
  • Experience with large-scale data processing and analysis.
  • Strong analytical and problem-solving skills, with the ability to work independently and as part of a team.
What We Offer
  • A competitive salary of €35,000 per year, plus benefits.
  • The opportunity to work with a talented team of researchers and scientists.
  • Access to cutting-edge technologies and resources.
  • A dynamic and inclusive work environment that values diversity and innovation.
How to Apply

If you are passionate about data analysis and societal research, please submit your application, including your CV and a cover letter outlining your experience and qualifications. We look forward to hearing from you.



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