Research Assistant (Inventory and bundling optimization)

NATIONAL UNIVERSITY OF SINGAPORE; Singapore; On-site; SGD 30,000 - 50,000; Full time

Job summary

A prestigious educational institute in Singapore is seeking a motivated Research Assistant to support a project on pricing and consumer choice modeling. The role involves developing analytical frameworks, conducting quantitative analyses, and implementing models. Ideal candidates will have strong academic backgrounds in mathematics and programming skills, particularly in Python. This position offers a great opportunity for hands-on experience in applied research.

Qualifications

• Strong academic training in mathematics, statistics, and quantitative modeling.
• Demonstrated programming skills, preferably in Python.
• At least six months of prior research or professional experience.

Responsibilities

• Assist in developing analytical frameworks for consumer choice modeling.
• Conduct quantitative analyses and implement computational models.
• Draft technical notes and assist with presentations of research findings.

Skills

Strong academic training in mathematics

Quantitative modeling

Programming skills (e.g., Python)

Analytical thinking

Attention to detail

Effective communication skills

Education

Degree in a relevant field

Job description

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated Research Assistant (RA) to support a project on bundle pricing and consumer choice modeling. The RA will assist in developing analytical frameworks, conducting quantitative analyses, and implementing computational models to study pricing strategies and their impact on consumer behavior and firm performance. Responsibilities include literature review, data preparation, mathematical modeling, and simulation programming, as well as drafting technical notes and assisting with presentations of research findings. The position provides an excellent opportunity to gain hands‑on experience in applied research at the intersection of operations management, pricing, and economics.

Job Requirements

Applicants should have strong academic training in mathematics, statistics, and quantitative modeling, with demonstrated programming skills (e.g., Python). Prior coursework or experience in optimization, operations research, or econometrics is highly desirable. Candidates must also have at least six months of prior research or professional experience in a related field, showing the ability to manage data and implement models independently. Strong analytical thinking, attention to detail, and effective communication skills are essential. This role is ideal for students or graduates interested in pursuing advanced studies or careers in research, data science, or analytical consulting.