Company Description
With roots dating back to 1913, ALDI is proud to make a real difference to people across the world by offering top quality products for low prices. ALDI first entered the Australian grocery market in 2001 and has since grown to have almost 600 stores and 8 distribution centres in 6 states.
If you’ve ever shopped at ALDI you know we are not your average supermarket. We’re also not your average employer. ALDI is a place where you’ll find good people, good purpose and a great opportunities. So you can work with a great team, feel great for making a real difference for everyday Australians and have a rewarding career.
It’s that simple. ALDI Good Different.
Job Description
A high impact opportunity for a Senior Data Science Analyst has become available within the National Data & Analytics (NDA) department of ALDI stores, based in Minchinbury, NSW.
This is a permanent full-time position.
This pivotal role will see you immersing yourself in machine learning and statistical modelling, employing advanced techniques to dissect and understand complex data sets. As a part of our Data Analytics team, you'll be instrumental in creating and maintaining tools which provide valuable insights that guide our decision-making to optimise both time and costs.
What does the role look like?
- Lead the end-to-end design, development, and delivery of models and data science projects, ensuring alignment with business goals and measurable impact
- Proactively engage with stakeholders to identify opportunities, define problems, and ensure solutions are implemented and adopted effectively
- Mentor junior and mid-level data scientists, providing guidance on modelling techniques, machine learning engineering practices, governance and business alignment.
- Build, test, and deploy machine learning models using Python, SQL, Spark, and Databricks on Azure to solve problems in forecasting, operations, and automation
- Design and maintain scalable data pipelines and architectures to ensure reliable access for analytics and ML use cases
- Use A/B testing, optimisation techniques, and causal inference to generate insights that inform key business decisions
- Implement robust MLOps practices, including model versioning, automated retraining, and performance monitoring
- Prototype solutions in advanced domains such as computer vision, optimisation, and generative AI
- Translate complex analyses into clear, actionable recommendations through presentations, dashboards, and documentation.
Qualifications
- Proven experience building and deploying machine learning models in production environments
- Proficient in Python, SQL, and Spark; experience with Databricks and Azure preferred
- Strong foundation in statistics, machine learning, and optimisation methods for experimentation and operational decision-making
- Familiarity with emerging techniques in computer vision, large language models, or causal inference
- Ability to communicate technical findings effectively to business and technical stakeholders
- Experience across the full data science lifecycle, including development, deployment, and MLOps practices.
Additional Information
- Enjoy 5 weeks annual leave for pursuing your passions outside of work
- Enjoy the flexibility of hybrid work options
- Support during life’s most important moments including paid parental leave, including superannuation on parental leave
- Complimentary access to free physiotherapy to treat non-work related aches, pains or niggles
- Work with a company who has been recognised as an Employer of Choice every year since 2018 - 2024.
Remuneration
- Transparent tiered salary range of $159,800 - $191,500 including superannuation.
Ready to embark on a good different career? To learn more about what it is like to work at ALDI visit our careers website www.aldicareers.com.au