Data Science Information Management Specialist
Data Science Information Management Specialist
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Job Description
Data Science & Information Management Specialist Onsite Belgium
We are supporting our partner in the search for an experienced Data Science & Information Management Specialist to join their team onsite in Belgium.
In this role you will be fully integrated into the company s Development team working closely with a major client s IT department at the customer s premises or at the company s offices.
Key Details:
Location: Onsite in Belgium (company or customer premises).
Eligibility: Due to access to sensitive data only candidates holding EU nationality can be considered.
Languages: Excellent command of English is required.
If youre a data expert with a strong background in information management and are ready to work on critical projects in a secure environment we d be glad to hear from you!
- Provide expert advice on defining policies and strategies for content records archives and information management including capture selection retention and digital preservation;
- Contribute to the definition and implementation of metadata standards for content and records management including archival description;
- Implement data publication and exchange solutions by exploiting potential advantages of linked open data and semantic web technologies;
- Conduct advanced statistical analysis of largescale educational and social datasets to produce results suitable for publication and dissemination;
- Produce datadriven reports and visualizations to inform education and social policy;
- Perform integration and analysis of survey and administrative data across different domains;
- Design and implement reproducible workflows for data processing and documentation;
- Evaluate the effectiveness of policies and programs using quantitative data analysis;
- Interact with IT units to define and clarify the characteristics structure and requirements of data sources and systems.
Requirements
- University degree in IT combined with relevant IT professional experience of 9 years;
- Minimum 5 years of specific expertise in MS Office tools (Word PowerPoint Excel etc);
- Minimum 5 years of specific expertise in statistical computing using R or other reproducible research tools;
- Experience in implementation or support of largescale multiuser data systems for international education and social science assessments (e.g. PISA TIMSS ICILS ICCS) with a focus on metadata structuring and data quality assurance;
- Practical experience in information management and metadata management including the use of open data technologies reproducible documentation tools (e.g. R Markdown Jupyter Notebooks Quarto);
- Proficiency in designing and implementing reproducible workflows for statistical analysis using open science tools and standards;
- Advanced use of statistical programming tools (e.g. STATA SPSS Matlab SAS) and opensource platforms for data analysis workflow automation and documentation (e.g. R Python Apache Airflow);
- Excellent knowledge of Windowsbased user environments;
- Good knowledge of agile methodologies in collaborative research and policy development projects;
- Excellent command of the English language.
Benefits
Looking to make an impact in a dynamic international environment Join a team supporting a major European Institution and work in a multicultural setting where your expertise matters.
Submit your CV in English today.
University degree in IT combined with relevant IT professional experience of 9 years; Minimum 5 years of specific expertise in MS Office tools (Word, PowerPoint, Excel etc); Minimum 5 years of specific expertise in statistical computing using R or other reproducible research tools; Experience in implementation or support of large-scale, multi-user data systems for international education and social science assessments (e.g., PISA, TIMSS, ICILS, ICCS), with a focus on metadata structuring and data quality assurance; Practical experience in information management and metadata management, including the use of open data technologies, reproducible documentation tools (e.g. R Markdown, Jupyter Notebooks, Quarto); Proficiency in designing and implementing reproducible workflows for statistical analysis, using open science tools and standards; Advanced use of statistical programming tools (e.g. STATA, SPSS, Matlab, SAS) and open-source platforms for data analysis, workflow automation, and documentation (e.g. R, Python, Apache Airflow); Excellent knowledge of Windows-based user environments; Good knowledge of agile methodologies in collaborative research and policy development projects; Excellent command of the English language.
Education
University degree in IT combined with relevant IT professional experience of 9 years
Employment Type
Full Time
