Senior Advisor Data & Systems | Orebody Knowledge

Senior Advisor Data & Systems | Orebody Knowledge

Senior Advisor Data & Systems | Orebody Knowledge

Job Overview

Location
Brisbane, Queensland
Job Type
Full Time Job
Job ID
78845
Date Posted
1 year ago
Recruiter
Willie Grace
Job Views
86

Job Description

About the role

All progress begins with pioneers. At Rio Tinto, it begins with you.

We are looking for a Senior Advisor Orebody Knowledge Data & Systems to join our Global Copper Technical Group. Working with sophisticated datasets and complex modelling challenges, you will automate workflows, conduct exploratory data analysis, build models and apply data science techniques.

This is a great new opportunity for a specialist geologist/mining engineer/data scientist/machine learning engineer to be part of a significant shift in the way we work. You will be given the space to utilise your full skill set as we invest in automating our future. Learn and develop through collaboration with growing data science and developer community within the organization.

We are an open, connected international team of technical specialists using some of the most exciting data and tools on the planet. We are the world leader in automation and smart mining.

We have technical development programmes that are industry-leading and recognise the unique nature of your role. These provide opportunities to grow your career through a dedicated technical path while being rewarded for your unique skills

Reporting to the Principal Geoscientific Systems and working in a collaborative and exciting environment, you will be:

  • Improving the understanding of orebodies using techniques such as machine-learning, optimisation, data science, or software engineering
  • Writing scripts in Python or R and automating procedures across multiple systems.
  • Developing standalone, or cloud-based applications
  • Seeking to simplify and automate routine work in various software packages and integrated development environments (IDEs)
  • Organising large datasets from multiple systems and sources, conducting exploratory data analysis

What you will bring

  • A commitment to the safety of yourself and your team
  • Experience in geology, data science, machine learning or optimization
  • Coding skills in a variety of languages especially python and R
  • Ability to script, develop and maintain workflows
  • Experience working within a diverse stakeholder group to deliver results and solutions
  • An understanding of geostatistics, or spatial modelling in a related discipline

What we offer

  • A safety-focused and inclusive working environment
  • A competitive salary package with annual cash incentive awards
  • Access to top tier family-friendly health and medical programs
  • Excellent retirement plan
  • A comprehensive leave policy that covers all moments that matter in life (vacation/annual leave, paid parental leave, short term sick leave)
  • Ongoing individual wellbeing support for you and your family for personal and professional matters
  • Generous Rio Tinto employee share program

About Rio Tinto

Every idea, every innovation, every little thing the world calls ‘progress’ begins with a first step, and someone willing to take it: explorers, inventors, entrepreneurs. Pioneers.

For nearly 150 years, Rio Tinto has been a company of pioneers – generations of people spanning the globe, all with the grit and vision to produce materials essential to human progress.

Our iron ore has shaped skylines from Shanghai to Sydney. Our aluminium – the world’s first to be certified “responsible” – helps planes fly and makes cars lighter. Our copper helps wind turbines power cities and our boron helps feed the world and explore the universe.

Our diamonds help us celebrate the best parts of life.

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.

Applications for this role will close on 11th March 2022 however we do reserve the right to close the role earlier.

Job ID: 78845

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