Information Technology – Senior Data Scientist (Optimization Track)

SINGAPORE AIRLINES LIMITED; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Singapore Airlines Limited is seeking a senior data scientist to advance mathematical optimization and operations research, expanding data science and ML to include exact/approximate optimization methods for linear and nonlinear problems.

You will collaborate with cross-functional teams to design, develop, and deploy optimization solutions across aircraft assignment, crew scheduling, and other related operational areas.

Qualifications

• BS in Computer Science, Mathematics, Physics or a related discipline is required. PhD and MS degrees related to mathematical optimization are highly desired.
• Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and object-oriented programming paradigm.
• At least 2 years of relevant technical experience in two or more of the listed areas.
• Experience in operations research methods such as linear/integer/mixed-integer programming; familiarity with simulation/queuing theory is a plus.
• Familiarity with Python optimization libraries (NumPy, SciPy, CVXPY, PuLP, Pyomo) and optimization solvers (Gurobi, CPLEX, OR-Tools).
• Hands-on experience with predictive modelling, shallow ML, and information retrieval.
• Experience or knowledge in aviation/airlines operations is a plus.
• Hands-on experience with AWS, GCP or similar cloud environments.
• Excellent interpersonal and communication skills for cross-functional collaboration.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

Responsibilities

• Collaborate with cross-functional teams to identify and frame challenging problems in mathematical optimization and operations research.
• Design, develop, and deploy optimization solutions impacting aircraft assignment, crew scheduling, and related KPIs; validate models and analyze scenarios.
• Work with application teams to operationalize optimization capabilities, advising on data needs, APIs, and performance considerations.
• Monitor production optimization services, troubleshoot issues, and iterate on models and algorithms as business needs evolve.
• Stay current on advances in optimization, solvers, and data science techniques; evaluate and recommend new tools.

Skills

Python

Data structures/algorithms

OO programming

Predictive modelling

Shallow machine learning

Information retrieval

AWS/GCP cloud

Interpersonal/communication

Agile/Scrum/Kanban

Education

BS in Computer Science/Mathematics/Physics

PhD in mathematical optimization

MS in mathematical optimization

Tools

NumPy

SciPy

CVXPY

PuLP

Pyomo

Gurobi

CPLEX

Google OR-Tools

Job description

Job Description

This is a senior data scientist position for our mathematical optimization/operations research area, expanding on his/her prior repertoire of skills in data science and machine learning to include exact/approximate methods for linear and nonlinear optimization problems.

Responsibilities:

• Collaborate with cross-functional teams (business stakeholders, domain experts, engineers) to identify and frame challenging problems in mathematical optimization and operations research.
• Design, develop, and deploy optimization solutions that have direct impact on aircraft assignment, crew scheduling and other related operational areas, including predictive models to required forecast demand, disruptions, or operational KPIs. Validate models and solutions through rigorous testing, scenario analysis, and sensitivity studies; communicate results and trade-offs clearly to technical and non-technical audiences.
• Work closely with application development teams to help them operationalize and integrate optimization capabilities on their software systems, advise on data requirements, API design, performance considerations, and monitoring.
• Monitor and maintain production optimization services, troubleshoot issues, and iterate on models and algorithms as business needs evolve.
• Stay current on advances in operations research, optimization solvers (e.g., Gurobi), algorithmic improvements, and relevant data science techniques; evaluate new tools or libraries and recommend adoption where beneficial.

Requirements

1. BS in Computer Science, Mathematics, Physics or a related discipline is required. PhD and MS degrees related to mathematical optimization are highly desired.
2. Advanced programming skills in Python. Conversant with data structure, algorithm design/analysis, and object-oriented programming paradigm.
3. At least 2 years of relevant technical experience in two or more of the following areas:
4. Intermediate or advanced skills in operations research, such as linear/integer/mixed-integer programming. Some familiarity with simulation, queuing theory, network and decision analyses is a plus.
5. Good understanding of some subareas of optimization algorithms, such as those in gradient-based methods or metaheuristic methods.
6. Familiarity of common Python optimization libraries, such as NumPy, SciPy, CVXPY, PuLP, and Pyomo; modern optimization platforms such as Gurobi, CPLEX or Google OR-Tools.
7. Intermediate-level hands-on skills in predictive modelling, shallow machine learning and information retrieval.
8. Prior experience or knowledge in aviation/airlines operation is a plus.
9. Some hands-on experience with AWS, GCP or similar public cloud environment.
10. Excellent interpersonal & communication skills for working with both technical staff and non-technical business users.
11. Experience with Agile/Scrum/Kanban methodologies is a plus.