Associate Project Officer - Data Analytics (re-advertised) (22417)
Associate Project Officer - Data Analytics (re-advertised) (22417)
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Job Description
OVERVIEW
Parent Sector:Education Sector (ED)
Duty Station:New Delhi
Job Family:Education
Type of contract:Non Staff
Level:SC9
Duration of contract:1 year
Recruitment open to:Internal and external candidates
Application Deadline (Midnight India Time):06 May 2025
UNESCO Core Values: Commitment to the Organization Integrity Respect for Diversity Professionalism
Duration of Contract is one (1) year with the possibility of an extension subject to the availability of funds and satisfactory performance. Only Indian Nationals are eligible to apply for this position.
OVERVIEW OF THE FUNCTIONS OF THE POST
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 highperformance computing environments and communicating scientific results efficiently.
The candidate will be required to work in transdisciplinary 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.
Long Description
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 highperformance computing environments and communicating scientific results efficiently.
The candidate will be required to work in transdisciplinary 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.
Duties and Responsibilities
Long Description
Impact Evaluation
- Conduct relevant background research and develop dataanalysis plans for assessment of pilot and largescale SEL interventions.
- Develop and validate assessment measures for research studies.
- Analyse data from pilot and largescale 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 realworld scenarios and adjusting them as necessary for improved precision.
- Analyze and interpret model results to inform educational strategies and policies
Long Description
Scientific Communication
- Communicate scientific results to highimpact journals and conferences.
- Disseminate research findings to members of the capacitybuilding team for design of evidencebased implementation programs.
- Support the research team to contextualize findings in different cultural environment(s).
- Support any other institutewide activities as and when they arise.
COMPETENCIES (Core / Managerial)
REQUIRED QUALIFICATIONS
Education Qualification:
- An advanced university degree equivalent to a Masters) 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 masters 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 largescale educational interventions or time seriesanalysis)
- Experience in at least two of the following: mathematical modelling machine learning simulation techniques and linear and nonlinear 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.
Positionrelated Skills/Competencies:
The successful candidate will be required to demonstrate the following competencies:
- High level of organization skills and attention to detail
- Welldeveloped writing skills communication skills and creativity
- Adaptability and commitment to teamplaying
Languages:
Excellent knowledge (written and spoken) of English.
Working Knowledge of Hindi
DESIRABLE QUALIFICATIONS
- Experience in psychometrics as evidenced by peerreviewed journal publication.
- Experience in conducting research studies in the education sector.
- Experience in publicationquality analysis and writing competencies through one or more international peerreviewed journal publications (s). We will not consider blog articles or selfpublished reports.
- Experience in presenting at highprofile international conferences.
- Experience in dissemination of scientific results to nontechnical audiences especially through the use of infographics and other graphical materials.
Languages:
- Working knowledge of another UNESCO language (French Arabic Chinese Russian and Spanish).
SELECTION AND RECRUITMENT PROCESS
Please note that all candidates must complete an online application and provide complete and accurate information. To apply please visit the UNESCO careers website. No modifications can be made to the application submitted.
The evaluation of candidates is based on the criteria in the vacancy notice and may include tests and/or assessments as well as a competencybased interview.
UNESCO uses communication technologies such as video or teleconference email correspondence etc. for the assessment and evaluation of candidates.
Please note that only selected candidates will be further contacted and candidates in the final selection step will be subject to reference checks based on the information provided.
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UNESCO recalls that paramount consideration in the appointment of staff members shall be the necessity of securing the highest standards of efficiency technical competence and integrity. UNESCO applies a zerotolerance policy against all forms of harassment. UNESCO is committed to achieving and sustaining equitable and diverse geographical distribution as well as gender parity among its staff members in all categories and at all grades. Furthermore UNESCO is committed to achieving workforce diversity in terms of gender nationality and culture. Candidates from non and underrepresented Member States (last update here) are particularly welcome and strongly encouraged to apply. Individuals from minority groups and indigenous groups and persons with disabilities are equally encouraged to apply. All applications will be treated with the highest level of mobility is required for staff members appointed to international posts.
UNESCO does not charge a fee at any stage of the recruitment process.
Please note that UNESCO is a nonsmoking Organization.
Required Experience:
IC
Employment Type
Contract
