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Chief machine learning architect

Perth
beBeeDataScientist
Architect
Posted: 6 October
Offer description

About the Role

We are seeking a visionary Data Scientist to lead our team in designing and deploying cutting-edge machine learning models that drive real business value.

The ideal candidate will effectively use their technical expertise, business acumen, and leadership skills to translate complex data into clear, actionable recommendations that directly contribute to revenue growth, cost optimization, customer experience, risk management, and operational efficiency.

In addition, you will:

* Develop and deploy advanced predictive models, machine learning algorithms, generative AI capabilities, and statistical analyses that support business decision-making and customer experience at scale.
* Act as subject matter expert lead for the organisation on all things data science, coaching and training team members in this area, maintaining a contemporary, industry-leading knowledge of tools, systems & use cases.
* Manage, mentor, and junior data scientists, empowering them to deliver high-impact projects and contribute to business value.
* Deliver measurable business outcomes, ensuring that the data science & insights team's contributions translate into quantifiable return on investment (ROI) of bottom-line business value.
* Ensure insights and models are deployed live in practice, influencing business change to ensure quantifiable results are achieved in practice.

You will gain more than a job; you will be stepping into a role where your expertise is valued, your advice influences decision-making, and your work supports one of WA's most dynamic industries.

We offer flexibility, investment in your growth, a workplace built for people, recognition that matters, and purpose and pride. Play a pivotal role in shaping the future of our organisation and contributing to an innovative, forward-thinking community.


Qualifications

Requirements include a Master's degree or higher in Data Science or a related field. 5+ years leading data science teams and operationalising models, a track record of delivering improved annual business value through data-driven strategies, expertise in predictive modelling, machine learning, generative AI, and statistical analysis, strong programming skills in Python and SQL, familiarity with software engineering practices (Git, CI/CD), proven ability to influence business change and mentor high-performing teams.

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