Senior Data Scientist

• Permanent full-time opportunity at our Collingwood office
• Combine your skills with technical expertise to drive improvements
• Work in Jetstar’s fantastic Customer Data and Analytics Technology team

Join the Jetstar team at a pivotal moment in our history as we embark on a new era of low fares travel. As we emerge from the pandemic, the outlook for our domestic and international flying is very strong and our teams are excited to welcome our new A321LR Neo’s as we continue on our mission to offer all day, every day low fares so more people can fly to more places, more often

The Senior Data Scientist - Customer Domain form a critical part of the Data, Analytics & Automation function within Jetstar, serving as both a technical expert and strategic thought leader. This role will be responsible for leading the delivery of high-impact business analytics and commercially valuable insights across multiple business domains, while also establishing best practices and frameworks that enable the broader data science team to scale effectively.

The role will solve business and technical problems related to projects in customer domain with robust use of rigorous scientific methodologies and creative use of algorithms using AI, machine learning and predictive modelling techniques on a cloud platform.

You will serve as a trusted adviser by cultivating relationships with customer-facing stakeholders and across various leadership teams to improve their understanding and knowledge of customer analytics and data science techniques

This is a key role in supporting the culture of data-driven, customer-centric decision making across Jetstar.

Key functional responsibilities include:

• Lead the design and implementation of complex business and technical solutions using advanced AI, deep learning, and predictive modelling techniques on cloud platforms, with demonstrated ability to work across multiple business domains simultaneously
• Drive innovation through research and implementation of cutting-edge advanced analytics opportunities in areas of predictive modelling, optimisation, deep learning, reinforcement learning, NLP, computer vision, and other emerging ML techniques to identify and deliver transformational business solutions
• Establish and champion frameworks for data science best practices, including model development standards, MLOps processes, and technical governance, working closely with the Data Science Chapter Lead to automate and scale these frameworks across the organisation
• Expert-level understanding of the end-to-end ML lifecycle, with hands-on leadership in MLOps for model deployment, monitoring, maintenance, and continuous improvement in production environments
• Produce sophisticated data visualisations and compelling narratives to communicate complex analytics findings to senior leadership and drive strategic decision-making
• Provide technical leadership and mentorship to junior data scientists and analysts in an agile environment, ensuring delivery of work that adheres to the highest standards of quality and rigour
• Act as a trusted strategic adviser to senior stakeholders and leadership teams, translating business challenges into analytical solutions and building organisational capability in data science

Successful applications will demonstrate:

• Tertiary degree (or equivalent experience) in a highly analytical discipline (e.g. data science, statistics, mathematics, physics, computer science, engineering)
• Minimum 5-7 years' experience in data science, machine learning, or advanced analytics roles with demonstrated progression in seniority and complexity
• Significant experience in competitive consumer retail markets such as airlines, travel, hospitality, financial services, insurance, telecommunications, or e-commerce
• Proven track record of leading complex analytical projects from conception to production deployment with measurable business impact
• Experience working with senior stakeholders and translating business strategy into analytical solutions
• Deep experience with end-to-end ML lifecycle including model development, deployment, monitoring, and maintenance in production environments
• Track record of innovation and problem-solving in complex, data-rich business environments
• Extensive experience with modern data platforms (Snowflake, Databricks, AWS/Azure/GCP) and ability to architect scalable data science solutions
• Expert-level knowledge of ML frameworks and libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, etc.) with understanding of when to apply different approaches
• Strong understanding of MLOps practices including containerisation (Docker), orchestration (Airflow, Kubeflow), model serving, and monitoring
• Advanced skills in data visualisation and storytelling, using tools such as Power BI, Tableau, or custom visualisation libraries

Your life at Jetstar is unlike any other

Live the travel dream: You and your nominated travel companions can takeoff more with our famous Qantas Group Staff Travel discount.

Make work feel like a holiday: Join a fun, driven team where work feels like a holiday. Our people take every opportunity to takeoff together and find ways to help their teammates soar.

There’s a place for everyone at Jetstar:  For us, travel and meeting new people go hand in hand. We invite our people to get involved in various Employee Network Groups that play an important role in creating our inclusive and supportive culture that we are fiercely proud of.  We believe that teams with a diversity of ideas and experiences are more creative, innovative and solve problems quickly.  We welcome applications from anyone who wants to takeoff with us.  If you have support or access requirements, just reach out and let us know what you need.

We’re Jetstar.  Let’s takeoff together

We can’t wait to hear from you. Apply close by the 4th of March