ML Data Scientist — Hybrid Role in Pretoria

Placements24; Pretoria; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Learning & development

Hybrid work model

Job summary

Placements24 in Pretoria seeks a Data Scientist specializing in Machine Learning to develop and deploy advanced ML models that solve business problems and drive data-informed decisions. You will work with data engineers, analysts, and stakeholders to translate objectives into scalable ML solutions.

The role emphasizes cutting-edge ML techniques, large datasets, and a hybrid work model with Pretoria-based flexibility. A strong background in ML and statistics is required.

Qualifications

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of professional experience in data science with a focus on machine learning.
• Proficiency in Python or R and ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Strong understanding of statistical modeling, data mining, and ML algorithms.
• Experience with big data technologies (Spark, Hadoop) and SQL databases.

Responsibilities

• Develop, train, and deploy ML models for predictive analytics and classification.
• Analyze large datasets to identify patterns and actionable insights.
• Collaborate with data engineers to build data pipelines for training and deployment.
• Evaluate and optimize model performance for accuracy, efficiency, and scalability.
• Communicate findings to technical and non-technical audiences.
• Stay updated with latest ML advancements.

Skills

Python

R

Analytical thinking

Education

Master's or Ph.D. in CS/Statistics/Math

Tools

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

SQL

Job description

Placements24 in Pretoria seeks a Data Scientist specializing in Machine Learning to develop and deploy advanced ML models that solve business problems and drive data-informed decisions. You will work with data engineers, analysts, and stakeholders to translate objectives into scalable ML solutions.

The role emphasizes cutting-edge ML techniques, large datasets, and a hybrid work model with Pretoria-based flexibility. A strong background in ML and statistics is required.