You’re driven by a customer mission and passionate about being part of a tribe of great people. Whatever you love - design, technology, engineering, you’re active in the community that sits around it.
With a growth mindset, you orient around doing what’s meaningful, purposeful and delivers value. You’re excited about being part of digital transformation and disrupting one of Australia’s biggest companies.
You’re curious and empathetic, with an eye for the bigger picture. You deal with complexity by collaborating with colleagues, listening to customers, testing ideas and continuously learning. You take authorship for what you create.
Sound good? Read on.
Here is a taster of what you can expect in this role:
- Provide thought leadership on industry best practice regarding data science solutions and their implementation in business.
- Prepare strategic team direction and provide roadmaps for long term ML and AI capabilities
- Provide strategic input to the business on opportunities for value growth using data science
- Identify and assess the internal and external partnership opportunities and lead the organisation in data-related conversations and negotiations.
- Leading projects and building relationships with internal teams to identify questions, issues and opportunities for data analysis and experiments.
- Build the capability of the team through leadership, coaching, development and performance management
- Work out which building blocks will be needed, how they will interface with each other and with other parts of the technology stack, and how the critical components will actually work
- Work with our data engineering and technology teams to identify the right big data infrastructure to support our future ambitions
- Engage with business partners and delivery teams to ensure algorithms are delivered and implemented into production systems
- Interpret analysis and modelling results in a business context and provide specific recommendations for new types of content to be developed.
- Lead a team of data scientists to:
- Understand the important dimensions of the variants that the business is seeking to test
- Build the system to make the choices, learn what worked and make better choices in future
- Develop and maintain state of the art advanced statistical and machine learning models
- Be responsible for the end-to-end data science execution including scoping, building, testing, implementation, maintenance, tracking and optimisation of predictive models on the GCP platform.
- Be responsible for complete and accurate documentation of all development.
