Career Opportunities

Job Responsibilities

Successful applicant will play an active role in conducting research on educational measurement and assessment issues. The incumbent is also expected to develop assessment services and products that are fit for purpose, educationally sound and positively transforming for stakeholders. The key responsibilities include:

• Conduct research studies which focus on harnessing technology to assess complex competencies for 21st Century education

• Apply statistical techniques to support assessment-related analysis

• Provide project management and consultancy services for assessment projects

Job Requirements

• Tertiary qualification in Mathematics and/or statistics-related field, with at least 3 years of experience in research studies, educational measurements and/or data analytics (e.g. machine learning & data mining)

• Proficient in the use of statistical analysis software (e.g. STATA, SAS, RUMM2020, R-Programming, etc.)

• Experience in the use of coding applications (such as Visual Studio) with C/C#/C++, Visual Basic or Java Programming, will be useful

• Experience in the education sector will be an advantage

• Adaptable, meticulous individual with excellent analytical skills

• Able to communicate complex concepts in an applied and practical manner to get buy-in from the stakeholders

• Enjoy working in teams in a dynamic and innovative work environment

Job Responsibilities

Successful applicant will play an active role in handling, analysing and mining data to provide meaning analysis and visualisation for decision making. The key responsibilities include:

• Analyse data and build predictive models and machine learning algorithms

• Apply sound methodologies in data science, statistical analysis and data mining

• Perform data visualisation to derive insights and value-add to decision making

• Develop automated marking models for different subjects with constructed responses ranging from answers that are one sentence in length to complex answers requiring an essay or analysis

Job Requirements

• Tertiary Qualification in Data Science, or Computer Science, or Statistics, with a minimum of 2 to 3 years’ experience in manipulating data sets, building statistical models and hands-on experience in machine learning applications

• Experience in programming and proficient in Python/R/C++

• Possess knowledge of a variety of machine learning techniques (such as clustering, recommender systems, Natural Language Processing, Deep learning etc.) and their real-world applications

• Possess knowledge of advanced statistical techniques and concepts, such as regression, properties of distributions, statistical tests, and proper usage, etc.

• Candidates with no relevant working experience can be considered