onsite
Data Scientist - Gibraltar Mine
Data Scientist
Data Scientist role focused on applying statistical modeling, machine learning, and data visualization to improve process control and operational efficiency at a large copper mining operation.
About the role
Key Responsibilities
- Develop and deploy predictive models to optimize ore processing, equipment reliability, and production scheduling.
- Analyze large datasets from sensors, SCADA systems, and historical production records using Python and SQL.
- Create interactive dashboards and visual reports to communicate insights to engineering and management teams.
- Collaborate with process control engineers to integrate data‑driven recommendations into automation workflows.
- Validate model performance, conduct root‑cause analysis, and continuously refine algorithms based on new data.
Requirements
- Bachelor’s or higher in Computer Science, Engineering, Statistics, or a related field.
- Proficiency in Python (pandas, scikit‑learn, PyTorch/TensorFlow) and SQL for data extraction and manipulation.
- Experience building and deploying machine‑learning models in an industrial or mining environment.
- Strong knowledge of statistical modeling, time‑series analysis, and experimental design.
- Ability to translate complex analytical results into clear visualizations and actionable recommendations.
Skills
pythonsqlmachine learning