Associate Project Officer - Data Analytics

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About the Organization

UNESCO, the United Nations Educational, Scientific and Cultural Organization, is a specialized agency dedicated to strengthening our shared humanity through the promotion of education, science, culture, and communication.

We set standards, produce tools and develop knowledge to create solutions to some of the greatest challenges of our time, and foster a world of greater equality and peace.

Job Description

The candidate will be required to work in trans-disciplinary teams that include neuroscientists, psychologists, game developers, mobile app developers, project/program managers, and other IT personnel, to turn data into critical information that can be useful for the Institute. The candidate must be a creative thinker, and find innovative solutions to problems through the information available. The candidate will need to validate their findings and present back findings to the relevant stakeholders.

The incumbent will be responsible for analysing data on how social and emotional learning (SEL) can cultivate and promote global citizenship, sustainable development, and peace through the use of advanced statistical methods, data mining & visualization techniques. In addition to advanced analytical skills, this candidate must also be proficient at integrating and preparing large datasets, architecting specialized databases, constructing mathematical models for policy research, conducting complex regression analyses, working in high-performance computing environments, and communicating scientific results efficiently.

The candidate will be required to work in trans-disciplinary teams which include neuroscientists, psychologists, game developers, mobile app developers, project/program managers, and other IT personnel, to turn data into critical information that can be useful for the Institute. The candidate must be a creative thinker and find innovative solutions to problems through the information available. The candidate will need to validate their findings and present back findings to the relevant stakeholders.

Job Responsibilities

Impact Evaluation

• Conduct relevant background research and develop data-analysis plans for assessment of pilot and large-scale SEL interventions.
• Develop and validate assessment measures for research studies.
• Analyse data from pilot and large-scale research studies to test the efficacy of SEL interventions.

Mathematical Modelling

• Utilize empirical educational data to develop and test mathematical models, ensuring they reliably represent real-world scenarios and adjusting them as necessary for improved precision.
• Analyze and interpret model results to inform educational strategies and policies

Scientific Communication

• Communicate scientific results to high-impact journals and conferences.
• Disseminate research findings to members of the capacity-building team for design of evidence-based implementation programs.
• Support the research team to contextualize findings in different cultural environment(s).
• Support any other institute-wide activities as and when they arise.

Education Qualification/Required Skills & Experience

• An advanced university degree equivalent to a Master’s) in statistics from a reputable university.
• Completed coursework/certificate/modules in basic and advanced statistical analysis related to psychometrics (techniques such as PCA, factor analysis, and IRT) and assessment of educational interventions (techniques such as GLMs, nonlinear regression models, multilevel modeling, SEM, causal inference, and longitudinal analysis) at master’s level. In support of this requirement, please insert images of the course and grades achieved in statistical analysis highlighted in the work experience in the employment history form.

Work Experience:

• Minimum 2 years of work experience in one of the areas of focus (psychometrics or quantitative analysis of large-scale educational interventions, or time series analysis)
• Experience in at least two of the following: mathematical modelling, machine learning, simulation techniques, and linear and non-linear regression programming.
• Proficiency in one or more data analysis software: R/Python. You may provide a link to your GitHub repository containing the code and analysis techniques you have developed in the employment history form.

Position-related Skills/Competencies:

The successful candidate will be required to demonstrate the following competencies:

• High level of organization skills and attention to detail
• Well-developed writing skills, communication skills, and creativity
• Adaptability and commitment to team-playing

Languages:

• Excellent knowledge (written and spoken) of English.
• Working Knowledge of Hindi

Desirable qualifications

Experience:

• Experience in psychometrics as evidenced by peer-reviewed journal publication.
• Experience in conducting research studies in the education sector.
• Experience in publication-quality analysis and writing competencies through one or more international peer-reviewed journal publications (s). We will not consider blog articles or self-published reports.
• Experience in presenting at high-profile international conferences.
• Experience in dissemination of scientific results to non-technical audiences, especially through the use of infographics and other graphical materials.

Languages:

• Working knowledge of another UNESCO language (French, Arabic, Chinese, Russian, and Spanish).

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