Remote Chief Data Scientist: Mining Analytics Leader

Placements24

Gqeberha

Hybrid

ZAR 2.986.000 - 4.976.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive compensation
Bonus structure
Health and wellness benefits
Retirement savings plan
Generous paid time off

Zusammenfassung

Placements24 is seeking a Chief Data Scientist to spearhead advanced analytics for its mining portfolio. This fully remote role leads a team of data scientists and ML engineers to transform exploration, processing and logistics data into actionable insights.

The candidate will deploy AI, ML, and statistics to optimize operations, enhance safety, predict equipment failures, and inform strategic decisions. PhD/Master’s in a quantitative field and 10+ years in data science are expected.

Qualifikationen

  • PhD or Master's in Data Science, Computer Science, Statistics or mathematics.
  • 10+ years in data science with at least 5 years in leadership roles.
  • Proven experience applying ML and statistics to industrial problems, mining preferred.
  • Strong programming (Python/R) and ML libraries; familiarity with big data and cloud platforms.

Aufgaben

  • Define and execute the company-wide data science strategy for mining.
  • Lead and grow a distributed team of data scientists and ML engineers.
  • Develop predictive maintenance, process optimization, and geological models.
  • Collaborate with operations, engineering and IT to drive data value.
  • Oversee data governance, model reproducibility and MLOps practices.
  • Translate complex findings for technical and executive audiences.

Kenntnisse

Python
R
TensorFlow
PyTorch
Scikit-learn
Spark
Hadoop
AWS
Azure
GCP
Tableau
Power BI
Leadership

Ausbildung

PhD or Master's in Data Science / related quantitative field

Tools

Spark
Hadoop
Tableau
Power BI
AWS/Azure/GCP

Jobbeschreibung

Placements24 is seeking a Chief Data Scientist to spearhead advanced analytics for its mining portfolio. This fully remote role leads a team of data scientists and ML engineers to transform exploration, processing and logistics data into actionable insights.

The candidate will deploy AI, ML, and statistics to optimize operations, enhance safety, predict equipment failures, and inform strategic decisions. PhD/Master’s in a quantitative field and 10+ years in data science are expected.

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