Senior Learning Analytics Engineer, Dean's Office, EduTech (2-year contract)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

This position will advance medical learning data analytics including handling of data and various digital learning resources and systems, interfacing with administrators, students and faculty members in NUSMed Dean’s Office, NUSMed Departments (eg ALCNS), NUS, NUH and NUHS, and leveraging data science to improve faculty teaching and enhance student learning experience.

Responsibilities:

• Exploring learning data and various data sources, IN ORDER TO support seamless integration of data sources for the data warehouse, to meet reporting and dashboard development needs.
• Supporting statistical modelling and developing performance dashboards IN ORDER TO lend actionable insights and inform on teaching and learning outcomes.
• Researching, developing and applying artificial intelligence (AI) / machine learning (ML) algorithm/model/s and components IN ORDER TO improve student learning experience

Qualifications

• Bachelor of Science Degree with Data Science & Analytics Focus or degree in quantitative disciplines with strong grasp of statistical modelling, eg Computing, Engineering, Mathematics
• Able to work across semi-structured and unstructured data, identify linkages across disparate datasets and extract meaningful insights;
• Awareness of ethical data handling and information security principles for compliant management of data;
• Strong verbal and written communication skills to be able to adequately inform a non-technical audience; 
• Interest in education principles and pedagogies; and
• Works collaboratively, experiments constantly in new approaches and iterates swiftly to advance forward
• Experienced in statistical analysis, data mining, machine learning and working with large scale datasets; and
• Proficiency with any of the following is a plus:

• programming languages (Python/R),
• database frameworks (MySQL/MSSQL, Hadoop),
• visualization tools (Power BI/Qlikview/ Tableau);
• Linux systems.