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Job Description
SIA-NUS Digital Aviation Corp Lab at the National University of Singapore (NUS) leverages NUS’s world class deep technology and multi-disciplinary research expertise across Artificial Intelligence (AI), Machine Learning, Data Science, Operations Research and Analytics, Optimisation, Automation, Sleep Studies and Design.
The Corporate Lab aims to develop for Singapore Airlines a new approach to design optimal price tiers for air tickets and manage seat inventory, to help maximize revenues for airlines, leveraging on modern analytical tools and technologies that can perform deep data analytics in airline revenue management system. The current solution provided by its new commercial vendor is adequate but could not address specific issues faced by SIA, including the price elasticity estimation, dynamic pricing and competition considerations etc. These are all unique to SIA and customized solution methodology needs to be developed for these purposes. Expertise, infrastructure and relevant background work done at NUS’s Institute of Operations Research and Analytics (IORA), School of Business, School of Computing and Department of Industrial Systems Engineering & Management would be tapped on to add value to the proposed projects.
The Research Fellow (Project Manager) will be responsible for
1) Field Test Analysis for Luggage Pricing:
a) Lead the analysis of luggage pricing strategies on specific international routes.
b) Assess customer behaviour and optimize revenue opportunities.
c) Provide data-driven recommendations to enhance the pricing strategy.
2) Advance Seat Selection Pricing: Experiment Design and Field Test Analysis:
a) Design and execute experiments to evaluate advance seat selection pricing across various flight routes.
b) Analyse field test data to identify effective pricing models.
c) Collaborate with cross-functional teams to integrate findings into the broader pricing strategy.
3) Fare Ladder Impact: Market Analysis
a) Conduct detailed analysis of fare ladder structures in key markets.
b) Assess the impact on booking patterns and revenue.
c) Provide strategic recommendations to optimize fare levels in line with market dynamics and revenue objectives.
4) Helping integrate the A/B test method into the simulator
a) Collaborate with the simulation and data science teams to integrate A/B testing methodologies into simulation tools.
b) Design and implement A/B test scenarios within the simulator to evaluate the impact of various pricing strategies and customer interactions.
c) Ensure that the simulation environment accurately reflects real-world conditions, allowing for reliable test results.
d) Analyse and interpret the outcomes of simulated A/B tests to provide insights that inform pricing and business strategies.
5) Manage and Lead the team in the projects
Requirements
The University values courage and creativity, openness and engagement, inclusion and diversity, and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Research Fellow who has:
• A completed PhD in operations research, econometrics, statistics, or related field
• Evidence of managing research projects
• Evidence of ability to conduct high-quality research
• Background relayed to Causal inference, Experiment design, Causal Structural modeling
• An emerging track record of academic publications
• An ability to work in a collaborative team environment
• Excellent communication skills
Others:
• Possess good interpersonal skills
• High comfort level in working within a self-directed culture and navigating ambiguity.
• Openness to critique from other disciplines and curiosity to learn from a spectrum of perspectives.
• An empathy and curiosity for how great brands, businesses and organizations navigate innovation and design.
• Experience with unique and novel tools and methods to uncover key insights
• willingness to work in a collaborative team environment
