Data Scientist

National University of Singapore; Singapore; On-site; SGD 50,000 - 70,000; Full time

Job summary

A leading educational institution in Singapore is seeking a Data Analyst to join their Office of Data and Intelligence. The successful candidate will create detailed reports, develop visualisations, and enhance data culture across university units. Key qualifications include a Bachelor’s degree in a relevant field and expertise in programming languages such as Python or R. Effective communication skills and experience in machine learning are also essential for this role.

Qualifications

• Excellent knowledge of at least one scripting/programming language.
• Proficiency in Business Intelligence tools like Power BI or Tableau.
• Experience with machine learning techniques.

Responsibilities

• Create detailed reports on data sources and analytical techniques.
• Develop visualisations and presentations for analytical results.
• Assist units in enhancing their data culture and capabilities.
• Develop data repositories and systems for report access.

Skills

Python

R

Java

C++

C#.Net

SQL

Power BI

Tableau

Qlik Sense

Education

Bachelor degree in Data Analytics, Applied Statistics, Mathematics, Computer Science or another quantitative field

Master’s or PhD

Job description

To join the team at the Office of Data and Intelligence at the National University of Singapore (NUS) with the collection, analysis, visualization of data and presentation of analytical results for regular and ad-hoc reporting purposes to meet multiple information and strategic requirements for the various stakeholders of the university.

The successful candidate will join a team of other data analysts and data scientists to engage in the following activities:

• Create detailed reports on data sources, methodology, analytical techniques, analytical results and insights for stakeholders.
• Develop visualisations and presentations for dissemination of analytical results and derivation of actionable insight.
• Assist other units in the university with enhancing their data culture and capabilities.
• Develop data repositories and system to enable key stakeholders to access regular reports.

Qualifications

Successful candidate should have the following qualifications and capabilities:

• Bachelor degree in Data Analytics, Applied Statistics or Mathematics, Computer Science or another quantitative field, but higher qualifications (Master’s or PhD) is preferred.
• Excellent knowledge of at least one of the following scripting/programming languages: Python, R, Java, C++, C#.Net, SQL .
• Proficiency in using Business Intelligence tools (e.g. Power BI, Tableau or Qlik Sense)
• Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade.
• Knowledge of database, ETL and data API concepts.
• Strong analytical, problem-solving skills and critical thinking with the ability to articulate ideas with data.
• Excellent written and verbal communication skills for coordinating across teams.

More Information

Location: Kent Ridge Campus

Organization: Office of the President

Department : Office of Data and Intelligence