Brisbane City, Queensland, au Computer and Mathematical Occupations
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Rio Tinto is looking for someone with a love of ML and AI product delivery to be a part of a growing team of Data-Scientists in the Brisbane Hub of "PACE Analytics", our internal ML and AI community.
Work in a team with a strong product mindset, focusing on creating solutions that matter for users that genuinely care about the outcomes.
Join a cohort of skilled Data Scientists and Graduates, and a broader community of "Citizen Data Scientists" across the enterprise.
Participate in building best-practice in Data Science experimentation, reproducibility, observability, and assurance.
PACE Analytics is focused on a culture of inclusion, independence, and creativity, and supports flexible and working from home arrangements within our hub.
About the role
We're looking for a Senior Data Scientist to join our Brisbane hub, with a focus on product delivery across a range of Machine Learning and Artificial Intelligence opportunities.
Data is one of our most important assets: behind each of our operations and projects are technological innovations and data science products that are driving new standards in mining and metals.
With a clear focus on values, performance and entrepreneurship, you get to grow with
an organisation that recognises your work and rewards you accordingly.
Reporting to the Lead Data Scientist , and working in collaboration with a range of product groups within Rio Tinto, you will have the opportunity to:
Leverage your creativity, delivering on new opportunities for Data Science product delivery in complex, data-rich environments.
Support your project-team in delivering Data Science solutions, from initial hypothesis and technique validation through to monitoring and training strategies.
Mentor and grow your peers in the enterprise, participating in a culture of collaboration, knowledge sharing, and product driven thinking.
Participate in the evolution of our Data Science, Product Quality Management, Assurance, and Knowledge Management processes within the team.
Focus on Safety, Ethics, Cybersecurity, and IP, in the context of both Data Science and the broader Rio Tinto.
Your network in this role consists of Data Engineering, Product Delivery and Cloud Engineering teams within PACE Analytics, and a broader community of end users, subject-matter experts, technical peers, and citizen data scientists in a range of skills and disciplines within Rio Tinto.
Experience in Data-Science product delivery, with a focus on Machine Learning and Artificial Intelligence solutions.
Data exploration, experimentation, analysis, and model development skills in either R or Python.
Experience with some (but not all!) of the common data-science libraries such as Numpy, Pandas, Tidyverse, PyTorch, Scikit-Learn, XGBoost and Spark derivatives.
Qualifications in Mathematics, Statistics, Computer Science or related fields.
A mix of the following could also compliment you in this role:
Experience in mapping mining and refining processes, combined with SME insights, to advanced analytics techniques across a range of industrial and enterprise problem spaces.
Exposure to cloud platforms and remote compute environments and SDKs such as Sagemaker, Databricks, AzureML, Cloudera, and other common infrastructure such as containers, blob stores and database environments.
Awareness of software development practices and life-cycles related to ML and AI.
What we offer
Be recognised for your contribution, your thinking and your hard work, and go home knowing you’ve helped the world progress.
A work environment where safety is always the number one priority
A permanent position working directly for Rio Tinto
A competitive base salary reflective of your skills and experience with annual incentive program
Comprehensive medical benefits including subsidised private health insurance for employees and immediate family
Career development & education assistance to further your technical or leadership ambitions
Ongoing access to family-friendly health and medical wellbeing support
Leave for all of life’s reasons (vacation/annual, paid parental, sick leave)
Exclusive employee discounts (banking, accommodation, cars, retail and more)
Possible domestic relocation assistance
Where you will be working
The PACE Analytics team is focused on improving performance through smarter ways of working by driving an innovative and “disruptive” technology culture. By partnering with Rio Tinto product groups and functions, our team is developing innovative ideas to solve problems and enable better decisions through data analytics.
Every Voice Matters
At Rio Tinto, we particularly welcome and encourage applications from Aboriginal and Torres Strait Islander people, women, the LGBTI+ community, mature workers, people with disabilities and people from different cultural backgrounds.
We are committed to an inclusive environment where people feel comfortable to be themselves. We want our people to feel that all voices are heard, all cultures respected and that a variety of perspectives are not only welcome – they are essential to our success. We treat each other fairly and with dignity regardless of race, gender, nationality, ethnic origin, religion, age, sexual orientation or anything else that makes us different.