Overview of role

An exciting opportunity has become available for an Executive Manager within our National Data and Analytics (NDA) department of ALDI stores, based in Minchinbury. This is a permanent full-time opportunity. 

This role encompasses legacy support, future-state projects and the optimisation of domestic transport and warehouse networks (inbound and outbound). This is an exciting opportunity for a leader to influence supply chain strategies, optimise end-to-end operations, and deliver impactful outcomes during key seasonal and operational cycles.

What does the role look like?

• Create predictive models and conduct comprehensive data analysis to uncover patterns and trends using statistical techniques to inform strategic decision-making within domestic transport and warehouse networks
• Lead a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous improvement
• Partner with internal and external stakeholders to ensure the delivery of actionable insights and strategic recommendations
• Work closely with data scientists and engineers to translate use case requirements into technical specifications and data models
• Identify opportunities to enhance warehouse layout, capacity utilisation, and operational efficiency
• Support the enhancements to configuration of warehouse management systems (WMS) and automation technologies to enhance operational visibility and control. Support and deliver analytics for legacy systems and future-state supply chain initiatives.

And the best part? Every single day at ALDI, you'll know you're making a difference, supporting our mission to help everyday Australians live richer lives for less.

We are currently looking for a Trades or Technical individual to join us in the role of Data Centre Technician working within our facilities team operating on a 24/7 basis.

Within this entry-level role, we will provide full on-the-job training to bring you up to speed on all aspects of data center facility management and critical infrastructure, including Cooling, Electrical, Cabling Infrastructure, Building Monitoring, and Fire systems.

Based in Macquarie Park, the purpose of this role is to support the Facility Management team with the day-to-day operations of the data centre, by providing high quality & efficient technical maintenance and customer service.

• The successful candidate will be required to work a 4 – 5 – 5 rotating shift roster with day shifts from 7am - 7pm and night shifts from 7pm - 7am.

Key Responsibilities include:

• Delivery of cabling needs, electrical and data, to customer racks and areas
• Attend to Remote Hands requests
• Assist with vendor management for maintenance of all core electrical and mechanical systems
• Ensure that facility problems are identified and resolved in a timely manner
• Monitor building management / monitoring systems 24/7, and quickly and effectively escalate issues internally or to vendors as relevant
• Ensure all visitors and contractors adhere to NEXTDC facility rules.
• Manual handling

From time to time, during shifts there may be travel between sites as required.

In this role, you will:

Lead a complex suite of interacting projects; either technical complexity and interdependency, or business/stakeholder interactions. 

Play a key leadership role that has far reaching impact throughout the whole team – through formal reporting lines or technical and/or project leadership, you will drive the culture and technical vision for the team.

Take a very high level of personal responsibility and accountability for projects, capabilities, etc. within the team. 

Key skills & experience we are looking for:

• Extensive relevant experience, ideally 10+ years in research or industry, resulting in a powerful combination of intuition, pragmatism, theoretical understanding, and impeccable judgment.
• Experience with large-scale model training systems or other high-performance computing.
• Programming/Tech Environments: Ability to code in scientific Python and experience working on shared codebases to produce production-quality code.
• Machine Learning and AI: Strong grasp of machine learning fundamentals (regularization, hyperparameter optimization, validation methods) and recent AI advancements. Experience with machine learning applied to image data is highly desirable.
• Cloud Computing: Experience working on AWS or GCP using distributed virtual machines, Docker containers, etc.
• Scale: Experience working with large datasets that don't fit into memory and require multiple nodes for efficient computation.
• Scientific Approach: Follow the scientific method of formulating hypotheses and applying statistical tests to validate them.
• Pragmatism: While extensive knowledge of ML theory is highly valued, pragmatism wins over elaborate theory when it comes to shipping products that work.
• Collaboration: We believe data science is a team sport, and are after candidates who can communicate well, share knowledge, and be open to taking on ideas from anyone in the team. Having worked on shared code-bases in a commercial environment is a big plus, but it's the attitude that matters most.
• Attention to detail: Showing attention to detail when it counts is important.

An exciting opportunity in the Use Cases team has become available within our National Data and Analytics (NDA) department of ALDI stores, based in Minchinbury. This is a permanent full-time position.

As a Business Data Analyst specialising in data modelling, you will be involved in the development of national use cases and their associated impact measurement. You will leverage data analysis for actionable insights, strategic recommendations, and proficiently conduct A/B tests to optimise product or service implementations.

What does the role look like?

• Contribute to predictive models and conduct comprehensive data analysis to uncover patterns, trends, using statistical techniques to inform strategic decision-making
• Collaborate with stakeholders to identify data analytics use cases that align with organisational goals and strategic priorities
• Develop detailed use case documentation, including objectives, scope, success criteria, and implementation roadmap
• Work closely with data scientists and engineers to translate use case requirements into technical specifications and data models
• Provide expert guidance and advisory to internal teams and business stakeholders on data analytics strategies and initiatives
• Design and execute A/B tests, assess the impact of change to products, and use statistical techniques to analyse results to identify significant insights and assist in decision making

And the best part? Every single day at ALDI, you'll know you're making a difference, supporting our mission to help everyday Australians live richer lives for less.

As a Data Scientist - Classifications Model Specialist at Shift, you will play a pivotal role in maintaining and evolving our classification models. You’ll be responsible for ensuring their continued success through performance monitoring, updates, and collaboration across teams. Your work will directly impact how we leverage data to drive business decisions and optimise our systems.

What you’ll do: 

• Maintain and enhance the performance of classification models through regular updates and monitoring.
• Support updates to model architecture, training sets, and model validation.
• Build and implement monitoring capabilities to effectively track model health.
• Develop and document processes to ensure smooth and consistent operations.
• Collaborate with data science, engineering, and operational teams to align on classification needs and improvements.