Singapore Airlines

5 months ago

Information Technology - Senior Data Scientist (Optimization Track) (SG)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Senior Data Scientist specializing in mathematical optimization and operations research to develop exact/approximate optimization methods for aircraft assignment, crew scheduling, and related operations. Collaborates with stakeholders, designs deployable optimization solutions, integrates with applications, monitors production services, and stays current with OR advances and data science techniques to improve operational KPIs.

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 with direct impact on aircraft assignment, crew scheduling and other operational areas, including predictive models to forecast demand, disruptions, or KPIs, and validate through testing, scenario analysis, and sensitivity studies.
•Work closely with application development teams to operationalize and integrate optimization capabilities, 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 data science techniques; evaluate and recommend adoption of new tools.

Key Requirements

•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 following areas: linear/integer/mixed-integer programming; optimization algorithms; Python optimization libraries (NumPy, SciPy, CVXPY, PuLP, Pyomo); optimization platforms (Gurobi, CPLEX, Google OR-Tools); predictive modelling and information retrieval; cloud experience (AWS, GCP).
•Excellent interpersonal & communication skills for working with both technical staff and non-technical business users.
•Experience with Agile/Scrum/Kanban methodologies is a plus.

Experience:2+ yearsAviationAirlinesOperations researchOptimizationMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingTeamwork

Tech Stack:PythonNumPySciPyCVXPYPuLPPyomoGurobiCPLEXGoogle OR-ToolsAWSGCP

Company Brief

Singapore Airlines

Flag carrier of Singapore providing international passenger and cargo air transportation, premium cabin services, and related travel products. Operates a global network with a reputation for service quality, modern fleet, and extensive partnerships.

Industry: Airlines

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Singapore, Singapore

Founded: 1972

Website LinkedIn

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Singapore Airlines

5 months ago

Information Technology - Senior Data Scientist (Optimization Track) (SG)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Singapore

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key 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 with direct impact on aircraft assignment, crew scheduling and other operational areas, including predictive models to forecast demand, disruptions, or KPIs, and validate through testing, scenario analysis, and sensitivity studies.
•Work closely with application development teams to operationalize and integrate optimization capabilities, 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 data science techniques; evaluate and recommend adoption of new tools.

Key Requirements

•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 following areas: linear/integer/mixed-integer programming; optimization algorithms; Python optimization libraries (NumPy, SciPy, CVXPY, PuLP, Pyomo); optimization platforms (Gurobi, CPLEX, Google OR-Tools); predictive modelling and information retrieval; cloud experience (AWS, GCP).
•Excellent interpersonal & communication skills for working with both technical staff and non-technical business users.
•Experience with Agile/Scrum/Kanban methodologies is a plus.

Experience:2+ yearsAviationAirlinesOperations researchOptimizationMachine learning

Education:Bachelor's

Skills:CommunicationCollaborationProblem-solvingTeamwork

Tech Stack:PythonNumPySciPyCVXPYPuLPPyomoGurobiCPLEXGoogle OR-ToolsAWSGCP

Company Brief

Singapore Airlines

Industry: Airlines

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Singapore, Singapore

Founded: 1972

Website LinkedIn