Data Scientist
Summary
Data Scientist builds predictive and prescriptive models in Python to surface performance-improvement insights for a mining client, collaborating with cross-functional teams.
Data Scientist
Client: Mining Sector
Office Location: Brisbane CBD with WFH flexibility.
Duration: 3 Months with potential of extension
Max Pay Rate: $850 a day inclusive of super
Submissions due: ASAP
Role Overview:
As a Data Scientist, you will be part of a global team identifying and delivering performance improvement projects through the application of cutting-edge analytics, operational and engineering expertise. You will be working collaboratively alongside other performance and improvement specialists, simulation and data analytics professionals, and operations and business subject matter experts.
Responsibilities include:
- Identify business and performance improvement opportunities.
- Work closely with stakeholders to ensure that the 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.
- Using Python to:
- Build descriptive, diagnostic, predictive and prescriptive modelling.
- Perform structured and unstructured data mining.
- Perform dimensionality reduction and feature engineering.
- Apply machine learning and statistical modelling techniques.
The ideal candidate for this role will possess:
- 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
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all. We actively encourage applications from any background.