Data Scientist

Jetstar Airways

Melbourne

1 week ago

Melbourne

1 week ago

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Data Scientist

Jetstar is seeking an innovative Data Scientist to join the Commercial Science & Systems team in Melbourne. This full-time hybrid role involves analyzing large data sets to build pricing and product elasticity models, enhancing forecasting and optimization algorithms, and driving data-driven decision-making. Requires a tertiary degree in a quantitative field, minimum three years' experience in competitive consumer retail markets, and proficiency in Python, R, or MATLAB.

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Hybrid

Full-time

Mid Level

Python

Salary

Not specified

Work Location

Melbourne, Victoria, Australia, AU

Work Model

Hybrid: 3 days onsite

Experience Required

3 years

Employment Type

Full-time

Experience Level

Minimum three years' experience

Core Qualifications

Technical (Must-have)

PythonRMATLABmachine learningclassificationregressionsimilarity matchingdata miningrelational databasesML-Ops

Soft Skills

communicationpresentationproblem-solvingcreative thinkingcommercial acumennegotiatinginfluencinganalytical

Preferred Qualifications

Technical (Nice-to-have)

Amazon Web Services

Key Responsibilities

•Enhance forecasting and price optimisation models and algorithms
•Use customer and booking interactions to inform product recommendations
•Analyse, identify and describe relationships and patterns in data
•Explore, integrate and develop new technologies and methodologies
•Proactively identify commercially valuable opportunities and define hypotheses
•Engage with peers across the business to discuss data meaning and complexity
•Work closely with stakeholders to determine data requirements and deliver solutions
•Take ownership of processes and systems from inception to implementation
•Champion a culture of data-driven, customer-centric decision making

Data ScientistAirlinesAviationCommercial SciencePricingForecastingMachine LearningPythonRMelbourne

Key Responsibilities

•Enhance forecasting and price optimisation models and algorithms

•Use customer and booking interactions to inform product recommendations

•Analyse, identify and describe relationships and patterns in data

•Explore, integrate and develop new technologies and methodologies

•Proactively identify commercially valuable opportunities and define hypotheses

•Engage with peers across the business to discuss data meaning and complexity

•Work closely with stakeholders to determine data requirements and deliver solutions

•Take ownership of processes and systems from inception to implementation

•Champion a culture of data-driven, customer-centric decision making