Senior ML Scientist - Hybrid Role, Drive AI Solutions

Placements24

Benoni

Hybrid

ZAR 900.000 - 1.300.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Medical aid
Life insurance
Hybrid work model
Continuous learning opportunities
State-of-the-art technology

Zusammenfassung

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Machine Learning to lead model development and deployment for business insights.

The role requires a PhD or Master’s in a quantitative field with 5+ years of experience, strong Python or R skills, and hands-on ML library expertise (scikit-learn, TensorFlow, PyTorch, Keras). A hybrid setup in Benoni enables collaboration with in-person teams and remote work options.

Qualifikationen

  • PhD or Master's degree in CS/Statistics/Mathematics/Physics or related field.
  • 5+ years of professional data science and ML experience.
  • Strong programming skills in Python or R.

Aufgaben

  • Design, develop, and deploy ML models for business applications.
  • Analyze large datasets to identify trends and actionable insights.
  • Collaborate with stakeholders to translate business needs into data science solutions.
  • Evaluate and improve the performance of ML models.
  • Develop and maintain data pipelines for model training and deployment.
  • Stay current with AI advancements and communicate results clearly.
  • Mentor junior data scientists and contribute to team growth.

Kenntnisse

Python
R
Machine Learning
Statistical modeling
Data mining
Communication
Problem solving

Ausbildung

PhD or Master's degree in CS/Statistics/Mathematics/Physics

Tools

scikit-learn
TensorFlow
PyTorch
Keras
Spark
Hadoop
SQL

Jobbeschreibung

Placements24 in Benoni, Gauteng, is seeking a Senior Data Scientist specializing in Machine Learning to lead model development and deployment for business insights.

The role requires a PhD or Master’s in a quantitative field with 5+ years of experience, strong Python or R skills, and hands-on ML library expertise (scikit-learn, TensorFlow, PyTorch, Keras). A hybrid setup in Benoni enables collaboration with in-person teams and remote work options.

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