Data Scientist/ Data Analyst
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Job Description
This position is for a Data Scientist/Analyst within the Office of Data and Intelligence at the National University of Singapore. Key responsibilities include data collection, analysis, visualization, and reporting to meet university-wide strategic needs. Required qualifications include a Bachelor's degree in a quantitative field, proficiency in programming languages like Python or R, experience with BI tools, and knowledge of machine learning, databases, and ETL concepts.
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Requirements
- 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.
- 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.
About This Position
Where is this position based?
The position is based at National University of Singapore (NUS), in Singapore, SG. Check the job description above for flexible or hybrid arrangements.
How do I apply for this job?
Click the Apply button on this page — it takes you to National University of Singapore (NUS)'s official application portal, where you submit your application directly to the university. Tenurify only aggregates the listing and never handles applications or charges candidates.
Ready to Apply?
Click below to visit the application page
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