Mining Data Scientist - Hybrid/Remote Analytics & Modeling

Randstad; City of Brisbane; Hybrid; AUD 94,000 - 157,000; Full time

Benefits offered by this job

WFH flexibility

Job summary

Randstad is seeking a Data Scientist to join a global team supporting performance improvement projects in the mining sector. Based in Brisbane CBD with work-from-home flexibility, you will apply cutting-edge analytics and collaborate with performance and improvement specialists, simulation and data analytics professionals, and domain experts.

You will write code, build models using Python and SQL, and present insights to stakeholders across the organization.

Qualifications

• Strong Python and SQL programming capability.
• Proven problem-solving skills.
• Clear communication and documentation skills.
• Experience using Git/version control.
• Mining or resources sector experience highly regarded.
• Consultancy or engineering experience preferred.

Responsibilities

• Identify business and performance improvement opportunities.
• Work closely with stakeholders to ensure that relevant business problems are properly defined.
• Investigate complex problems using a structured problem-solving approach.
• Write code and conduct analysis utilising a range of technologies and techniques.
• Enable performance improvement by producing actionable insight from data.
• Confidently present ideas, results, and recommendations to stakeholders at all organisational levels.

Skills

Python

SQL

Git/version control

Problem-solving

Communication

Documentation

Mining sector experience

Consultancy/engineering experience

Tools

Git/version control

Job description

Randstad is seeking a Data Scientist to join a global team supporting performance improvement projects in the mining sector. Based in Brisbane CBD with work-from-home flexibility, you will apply cutting-edge analytics and collaborate with performance and improvement specialists, simulation and data analytics professionals, and domain experts.

You will write code, build models using Python and SQL, and present insights to stakeholders across the organization.