Job Description & How to Apply Below
About Officeworks:
Officeworks' purpose is 'we bring big ideas to life at low prices'. We are Australia's leading omnichannel retailer of complete technology solutions, stationery, furniture, art supplies, and learning resources. We also offer services including Print & Create and Geeks2U. We begin with customers—our products and services provide solutions to our diverse range of customers across Australia, from households, students, small to large-sized businesses, governments, and schools.
About the Data & Analytics Function:
By joining the Data, Analytics and AI Hub within Officeworks' Global Capability Centre (GCC), you will play a pivotal role in enabling business growth and performance through insight, intelligence and innovation. You will support executing the strategy and accelerate the shift to a more digital and AI-native organisation. You'll help build advanced capabilities that sit at the core of how the business understands customers, informs decisions, invests wisely, and delivers measurable value.
The GCC is a critical enabler of Officeworks' purpose, by providing data-driven insights, trusted analytics, and scalable AI solutions that empower smarter, faster decision making and support sustainable success.
This is a unique opportunity to join as a founding member of a newly established global hub. Early joiners will help shape how data, analytics and AI shape Officeworks, influencing future ways of working, building critical capabilities, and driving the evolution of some of Officeworks' most important data and intelligence platforms.
These roles are best suited for people who enjoy:
Working in data, analytics and AI disciplines, including data engineering, reporting, advanced analytics, machine learning, governance, and insight generation.
Supporting global initiatives by building scalable, high quality data and AI products.
Enabling business transformation through insight-led storytelling, experimentation, and continuous improvement.
Thriving in an environment where your expertise is valued, your development is intentionally supported, and your work has a visible, meaningful impact on business outcomes.
Why this role exists:
The Data Scientist is a key member of the Advanced Analytics team, responsible for the end-to-end delivery of advanced analytics projects. The role partners with various business functions to understand requirements and develop the analytic methods and algorithms necessary to support data-driven decision-making across the organization.
Where you will make a difference:
In this role you will:
Data Science and Model Development:
Develop, test and improve statistical, machine learning and optimization models to solve priority business problems.
Apply appropriate data science techniques such as regression, classification, clustering, forecasting, segmentation, experimentation, optimization and recommendation models.
Use programming tools such as Python, R and SQL to prepare analysis, build models and evaluate model performance.
Select fit-for-purpose modelling approaches based on the business problem, data quality, interpretability needs and implementation pathway.
Document model assumptions, methodology, limitations and performance so outputs are transparent and reusable.
Use Case Shaping and Analytical Problem Solving:
Work with Analytics Business Partners, Business Analysis & Process Improvement roles and business stakeholders to understand the business problem, decision need and expected outcome.
Help assess whether data science is the right approach for a business problem, or whether simpler analysis, reporting or process improvement is more appropriate.
Translate business questions into testable hypotheses, modelling approaches and success measures.
Support opportunity sizing, scenario analysis and analytical design for priority initiatives and cross-functional squads.
Provide technical input into feasibility, data requirements, delivery risks and expected model value.
Squad and Enterprise Support:
Support squads, projects and enterprise initiatives by providing data science expertise where advanced modelling or analytical methods are required.
Partner with Data Analysts to…
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