Technical Lead Data Sciences

Overview
We have an exciting opportunity within the Integrated Planning and Analysis team for an enthusiastic Technical Lead Data Sciences.
This new role will be a key leader in the ongoing development of our new planning application Atlas which aims to maximise Fortescue's supply chain.
Working alongside a team of supply chain planners and data analysts, you will be able to problem solve scenarios and improvements before building and deploying into production.
Additionally, you will dive into Fortescue's vast datasets across its supply chain to find insights that unlock system capacity and help deliver on business goals.
Fortescue is an inclusive company, and we encourage people from diverse background to apply.
Key Responsibilities
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.
Qualifications and Experience
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.
About Us
Be part of something big.
Fortescue is leading the world with our plan to decarbonise our iron ore operations, projects that harness renewable energy and the development of technology that will change our planet forever.
Our Commitment
Fortescue celebrates individual strengths and team members are encouraged to bring their whole selves to work.
Our global workforce drives and promotes an inclusive culture, both within our organisation and throughout the communities we interact with.
Diverse backgrounds include First Nations Peoples, people with disabilities, LGBTQ+ community, gender, neurodiverse, cultural diversity, all age groups, and those with an intersectional or multiple diverse characteristics.We encourage candidates from all backgrounds to apply.
careers
Internal Candidates / Current Contractors please apply via Success Factors Careers Portal.
For further information on how to apply please visit the Fortescue Hub.
Fortescue reserves the right to close applications early should a suitable pool of candidates be identified.
Fortescue will never contact you to ask for payment of any kind, whether directly or through a third party.
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