Volunteers for Data Science Course Design and Delivery

Job Posting Organization:
The Universidad Intercultural de las Nacionalidades y Pueblos Indígenas Amawtay Wasi is a public, intercultural, and community-based institution. Its mission is to educate individuals who recognize the harmonious relationship among all beings in life, fully exercising their individual and collective rights to build a Plurinational and Intercultural State, grounded in community well-being. The university aims to be a leading educational community by 2030, promoting intercultural dialogue and diverse, socially relevant knowledge that strengthens community ties, oriented towards Sumak Kawsay. The university's foundational principles include interculturality, plurinationality, epistemic dialogue and sovereignty, and the full exercise of cultural and linguistic rights.

Job Overview:
The position seeks two volunteers with expertise in data science and knowledge of popular and solidarity economy to design and deliver a 40-hour virtual course aimed at university teachers and educational facilitators. The course aims to equip participants with the skills to apply data analysis tools to investigate, evaluate, and strengthen initiatives in the solidarity economy, cooperatives, and community enterprises. The training will consist of 20 sessions, each lasting 2 hours, preferably scheduled after 18:00 (GMT-5), Monday to Friday, via Microsoft Teams. This initiative is part of a strategic research and critical training effort to bridge the gap between solidarity economic theory and modern quantitative tools, promoting a data-driven approach with ethical and community perspectives.

Duties and Responsibilities:
The volunteers will be responsible for the comprehensive design of the course program, which includes theoretical modules, applied case studies, and practical projects using real data from the solidarity sector. They will prepare educational materials such as presentations, practice datasets, analysis guides using software (Excel, R, Power BI, Data Mining, etc.), and bibliographic resources. The volunteers will conduct live sessions via Microsoft Teams, combining lectures, live demonstrations, and collaborative work. They will also hold weekly coordination meetings with the organizing team (45 minutes on a mutually agreed day) and provide virtual follow-up and tutoring, being available to resolve technical queries through the course forum or email (3 hours per week). Additionally, they will design and evaluate a final applied project where teachers will conduct a data analysis related to a solidarity economy organization. Specific dates for the course will be determined based on evening or weekend availability as coordinated.

Required Qualifications:
Candidates must have a strong background in data science, including proficiency in relevant software tools such as Excel, R, and Power BI. They should possess knowledge of the popular and solidarity economy, with experience in teaching or facilitating educational programs. A critical and applied pedagogical approach is essential, with an emphasis on accessible and open-source tools whenever possible. Strong communication skills and the ability to work collaboratively in a virtual environment are also required.

Educational Background:
A degree in data science, economics, social sciences, or a related field is preferred. Advanced degrees or certifications in data analysis or educational methodologies will be considered an asset.

Experience:
Candidates should have prior experience in data science, particularly in the context of social or economic research. Experience in designing and delivering educational programs, especially in virtual formats, is highly desirable. Familiarity with the solidarity economy and community development initiatives will be beneficial.

Languages:
Fluency in Spanish is mandatory, as the course will be conducted in Spanish. Proficiency in English or other languages may be considered an advantage but is not required.

Additional Notes:
The position is voluntary and may involve flexible hours, primarily in the evenings or weekends. The role is focused on fostering international collaboration and may involve participants from various backgrounds. Compensation details are not specified, but the opportunity provides valuable experience in educational program design and delivery within a community-focused context.