Remote Data Scientist - Resource Modeling

Placements24; Gqeberha; Hybrid; ZAR 1,959,000 - 2,938,000; Full time

Benefits offered by this job

Remote work

Health insurance

Professional development

Paid time off

Bonuses

Job summary

Placements24 is seeking a senior Data Scientist to join a fully remote team focused on advanced resource modeling for global mining operations. You will leverage machine learning, statistics, and data visualization to build predictive models that enhance mineral exploration and resource estimation accuracy.

The role involves collaborating with geologists, geophysicists, and engineers, deploying end-to-end data pipelines, and staying at the forefront of AI applications in mining.

Qualifications

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• 5+ years experience as a Data Scientist with a strong portfolio of predictive modeling projects.
• Proficient in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms (AWS, Azure, GCP).
• Strong communication and collaboration skills for remote work.

Responsibilities

• Develop, implement, and deploy ML models for resource estimation and exploration targeting.
• Analyze large datasets from geological surveys, seismic data, and production logs.
• Create data visualizations and reports for technical and non-technical stakeholders.
• Collaborate with geologists, geophysicists, and engineers to integrate insights into resource models.
• Stay updated on data science advances and AI applications in mining.
• Contribute to data pipelines and analytical infrastructure.

Skills

Machine learning

Statistical analysis

Data visualization

Python

R

Education

Master's or PhD in Data Science/Statistics/CS

Tools

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Job description

About the Role

Our client is actively seeking a talented and innovative Data Scientist to join their fully remote team, focusing on advanced resource modeling for their global mining operations. This role is pivotal in extracting actionable insights from vast datasets to enhance mineral exploration and resource estimation accuracy. You will leverage machine learning, statistical analysis, and data visualization techniques to build predictive models and drive strategic decision-making. This is an exceptional opportunity for a data-driven professional to contribute significantly to the company's success from anywhere, working within a forward-thinking, digitally enabled organization committed to cutting-edge analytical approaches in the mining industry.

Key Responsibilities

• Develop, implement, and deploy sophisticated machine learning models for resource estimation and exploration targeting.
• Analyze large, complex datasets from geological surveys, seismic data, and production logs to identify patterns and trends.
• Create compelling data visualizations and reports to communicate complex findings to technical and non-technical stakeholders.
• Collaborate with geologists, geophysicists, and engineers to integrate data-driven insights into resource models.
• Stay abreast of the latest advancements in data science, AI, and their applications in the mining sector.
• Contribute to the development and maintenance of data pipelines and analytical infrastructure.

Requirements

• Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field.
• Proven experience (5+ years) as a Data Scientist , with a strong portfolio of predictive modeling projects.
• Expertise in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Excellent communication and collaboration skills, adept at working in a fully remote setting.

Benefits

• Highly competitive salary and performance-based bonuses, reflective of a senior remote role.
• Flexible working hours and location flexibility (fully remote).
• Comprehensive health, dental, and vision insurance coverage.
• Generous paid time off and professional development allowance.
• Access to cutting-edge technology and a culture that fosters innovation and data-driven decision-making.