Senior Manager, Data Science

3 weeks ago


Sydney, Australia Qantas Group Full time
Opportunity to develop, drive and lead our Data Science strategy across the Qantas Loyalty business. Full-time and permanent position based at our Head Office in Mascot. Help shape the future of Qantas Loyalty and deliver exceptional value to both our customers and our organisation.

Qantas Loyalty is an integral part of the Qantas brand, with a vision to be the most valued and trusted Loyalty ecosystem that makes every day more rewarding. With a focus on rewarding loyalty and fostering lasting relationships, our business is dedicated to providing unparalleled value and benefits to our members. From earning points on flights, shopping and everyday purchases to enjoying exclusive perks and privileges, Qantas Loyalty is committed to delivering exceptional service and rewards. With a rich heritage and a forward-thinking approach, we continue to redefine loyalty in the aviation industry, setting the standard for excellence and innovation. 

The Senior Manager, Data Science will be a transformative leader, with a deep understanding of advanced technical methodologies, to guide Qantas in maximising the strategic value of its rich data assets. The position will oversee a team of highly skilled data scientists, set the direction for Qantas' data-driven initiatives, and ensure findings translate into impactful business outcomes that enhance customer experience and drive our competitive advantage. Leveraging technical and data analysis skills will be critical to share knowledge and influence peers and stakeholders across all levels of the organisation.

This role requires a talent for developing and mentoring a high-performing team and the ability to champion data-centric decision-making across all levels of the business. The Senior Manager is responsible for addressing escalations, proactively identifying potential roadblocks and developing solutions that are consumable for business leaders to understand and drive action.

The Senior Manager, Data Science, will play a pivotal role in leading the development and execution of data science strategies to extract actionable insights and solve business challenges from large and complex datasets, driving commercial and customer outcomes.

What you’ll bring to the role:

At least 5-10 years’ experience as a senior management position in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline A tertiary degree in applied statistics, maths, computer science or a related analytical field Extensive knowledge within the AWS platform and PySpark language (essential) Proven expertise on Machine learning and AI modules using Qantas proprietary data Strategic data driven leadership, connecting data initiatives to business goals Proven ability to drive change, customer engagement and/or commercial outcomes as a result of initiatives driven by Data Science Mentoring and development skills to retain top talent and empower team members Project management skills with the ability to lead complex data projects from start to finish Proven experience to engage with stakeholders on an ongoing basis to ensure initiatives/solutions are still meeting business outcomes  In-depth knowledge of multivariate analysis, generalised linear models, tree-based classification models, neural networks and other modern data mining and predictive modelling techniques Extensive experience utilising one or more open-source programming languages e.g., R, Python, Java, C+. Experience in cloud computing and cluster utilisation preferred: Amazon Web Services (S3, EMR).  Experience in extracting and manipulating large volumes of data with SQL. Experience in airline, retail, telco and/or financial services advantageous. Strategic thinking and planning skills enabling organisational initiatives

Why Qantas?  

If you’re successful in your application, you’ll join a team where creativity and passion are encouraged. Our people come together to allow us to dream big and deliver successfully. 

There are many different opportunities across our team, which means you’ll be able to grow both personally and professionally at Qantas. Your development is a priority for us – so that you can maintain the high standards our customers have come to expect and can continue to develop over time. You’ll be supported from day 1 with on the job training and coaching as well as our formal training opportunities. While you may start in this role, we’ve got a great track record of supporting our people to take their career in so many different directions, the destinations are endless.

The Qantas employee benefits program offers amazing benefits that extend well beyond travel.  

We love to travel: Enjoy discounted air travel within Australia and across the globe, both for you and your family and friends, as well as exclusive deals on accommodation and holidays.  We have flexible leave options: Make use of leave and flexible working opportunities including up to 18 weeks paid parental leave and additional purchased leave options. We’ll give you access to thousands of rewards: Through our partnerships we can offer you discounts across shopping, food and wine, insurance, health and wellbeing, leisure and entertainment. You can also take advantage of our salary packaging for everything from motor vehicles to electronic devices.  We’ll support your wellbeing: Whether its learning to better support your own and others’ mental health, our interactive wellbeing app or your very own tailored nutrition plan. 

Applications close on the 18 th of June

Qantas is an equal opportunity employer committed to providing a working environment that embraces and values diversity and inclusion. By coming to work for us, you’ll be part of an organisation that encourages diversity, supports charities and environmental initiatives. We encourage Aboriginal and Torres Strait Islander, and people of all backgrounds to apply. If you have any support or access requirements, we encourage you to advise us at time of application. Your personal information will be kept confidential in compliance with relevant privacy legislation.



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