
Technical Lead Data Sciences
- Perth, WA
- Permanent
- Full-time
- Continuous support and development of optimisation planning application alongside our external development partner.
- Draw on a variety of different data sources to conduct analysis across a range of supply chain capacity impact questions.
- Supporting analysis and assumptions review on key data sets as part of regular planning processes in the business.
- Applying a variety of classical and modern (e.g. machine learning) statistical analysis techniques to provide insights on supply chain performance.
- Drive the development and maintenance of supporting toolkits, including static capacity models and analysis processes.
- Mentoring of peers in data analysis best practices and innovative ways of deriving meaningful insights.
- Proactively drive project outcomes and timelines whether working as an individual contributor or in larger team settings.
- Support developing the overall strategy of our system's landscape, guiding vendors and teams to deliver to this strategy.
- Communicate insights and analysis outcomes of results to a range of operations stakeholders.
- Tertiary Qualifications in Data Science, Mathematics, Engineering or similar discipline.
- Previous experience in supply chain data analysis. Exposure to the Mining industry and Time Usage Models are well regarded.
- Advanced Python programming skills, with experience using Pyomo well regarded.
- Understanding of mixed-integer programming (MIP) and model relaxation strategies.
- Experience in Gurobi (or equivalent) solver configuration and tuning.
- Strong SQL skills and comfortable working with large datasets such as Snowflake and data historian systems.
- Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred.