Remote Lead Data Scientist for Mining & Operations Insight

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 1,900,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Home office stipend

Learning opportunities

Job summary

Placements24 is seeking a Lead Data Scientist for a remote role in the mining sector. You will design, develop and deploy ML models across exploration, extraction, processing and logistics, translating data into business insights and strategic decisions.

You will mentor a team of data scientists, collaborate with geologists, engineers and managers, stay abreast of advances in AI, and drive data-driven decision making across the organization.

Qualifications

• Master's or PhD in quantitative field.
• 8+ years in data science and leadership.
• Mining industry experience preferred.
• Proficient in Python or R and ML libraries.
• Experience with Spark/Hadoop and SQL/NoSQL.
• Cloud platforms (AWS/Azure/GCP) for workflows.
• Excellent communication to non-technical stakeholders.
• Proven mentoring ability.

Responsibilities

• Lead design, development and deployment of ML models for mining.
• Define data strategy and key data sources.
• Mentor and manage data scientists.
• Collaborate with geologists, engineers and managers.
• Present data-driven insights to senior management.
• Ensure data quality, integrity, and security.
• Stay current with data science advancements.
• Oversee end-to-end data science lifecycle.
• Champion data literacy and data-driven decisions.

Skills

Leadership

Data science

Python

R

Spark

Hadoop

AWS

ML algorithms

Education

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

Tools

TensorFlow

PyTorch

scikit-learn

Job description

Placements24 is seeking a Lead Data Scientist for a remote role in the mining sector. You will design, develop and deploy ML models across exploration, extraction, processing and logistics, translating data into business insights and strategic decisions.

You will mentor a team of data scientists, collaborate with geologists, engineers and managers, stay abreast of advances in AI, and drive data-driven decision making across the organization.