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
