Research Associate (Data Governance & Democratisation)

National University of Singapore; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

Une université de recherche de premier plan recherche un Research Associate pour rejoindre l'équipe de Data & Intelligence. Le candidat retenu sera responsable de la transformation des données et de l'amélioration des produits au service de la communauté universitaire. Les qualifications recherchées comprennent un master en Data Analytics et une maîtrise des langages de programmation comme Python et R, ainsi que des compétences en data storytelling.

Qualifications

• Master en Data Analytics, Mathématiques ou domaine inscrit.
• Excellente maîtrise des langages Python, R, SQL, ArcGIS.
• Compétences analytiques et capacité à communiquer avec des experts et non-experts.

Responsibilities

• Transformer rapidement les données brutes en produits de données utilisables.
• Piloter des pipelines de transformation, d'analyse et de visualisation.
• Collaborer avec les équipes de recherche pour améliorer les produits de données.

Skills

Data storytelling

Problem-solving

Analytical thinking

Attention to detail

Education

Master's degree in Data Analytics

Master's degree in Applied Statistics

Master's degree in Mathematics

Master's degree in Computer Science

Tools

Python

R

SQL

ArcGIS

Job description

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The National University of Singapore's (NUS) Office of Data & Intelligence (ODI) is the university's hub for the assimilation, preparation, analysis, visualisation, and reporting of NUS Data. Inside ODI, the Governance and Data Democratisation Team (Gⅅ) works to make NUS Data more available and useful to the entire NUS Community.

The Gⅅ Team's core functions are to:

1. Identify sources of useful NUS Data and work with their data stewards, data managers, and NUS IT toward making the data safely and securely usable to a wider audience;
2. Curate and repackage NUS Data into standalone data products that can be used with minimal assistance by NUS Researchers and NUS Staff;
3. Develop first-generation prototypes of systems and data endpoints through which NUS Researchers and Staff can access and use the NUS Data products; and
4. Promote improved data governance across campus by directly interacting with stakeholders, producing reference materials, holding tutorial sessions, and hosting dialogues

The Research Associate will join an inter-disciplinary team to engage in the following activities:

• Quickly transform raw data from NUS systems and external sources into usable data products for use by ODI, NUS Staff, and NUS Researchers;
• Rapidly assemble and pilot novel data transformation, analysis, and visualisation pipelines to enhance the University's research and operational capabilities;
• Document, improve, and communicate the content and potential uses of NUS Data processes and products to NUS Stakeholders;
• Liaise with NUS Research teams as core stakeholders to provision, update, and enhance NUS Data products, surface new development needs, and communicate recommendations for operational improvements; and
• Assist with the planning, delivery, tracking, and monitoring of ODI's efforts in implementing the NUS Data Strategy for Researchers.

Qualifications

Interested candidates should have the following qualifications and capabilities:
• Master's degree in a branch of Data Analytics, Applied Statistics, Mathematics, Computer Science or comparable quantitative field;
• Attention to detail and adherence to process when carrying out established workflows
• Excellent knowledge of and experience working with the following scripting/programming languages: Python, R, SQL, and ArcGIS;
• Excellent knowledge of data science techniques and experience working with the following data formats: tabular, multi-level JSON, GIS, and images;
• Excellent written, visual, verbal, and interactive data storytelling skills for English-speaking audiences;
• Strong analytical, problem-solving, and critical thinking skills, coupled with the ability to articulate ideas with data to experts and non-experts alike; and
• Experience in sourcing, selecting, and applying machine learning techniques and designing algorithms that can be communicated to, and used by, non-experts.

More Information

Location: Kent Ridge Campus

Organization: Office of the President

Department : Office of Data and Intelligence

Employee Referral Eligible: No

Job requisition ID : 29293