Principal ML Data Scientist - Lead & Mentor Team

Placements24; Randburg; Hybrid; ZAR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Competitive salary

Performance bonuses

Medical insurance

Dental insurance

Vision insurance

Retirement plan

Paid time off

Professional development opportunities

Job summary

Placements24 in Randburg, Gauteng, seeks a Principal Data Scientist to lead ML initiatives and drive data-driven decisions across the business. You will mentor a team of data scientists and collaborate with cross-functional teams to deliver innovative solutions.

The ideal candidate holds a PhD or Master’s in a quantitative field, 8+ years in data science, and deep expertise in ML algorithms, statistical modeling, and cloud platforms (Python/R, TensorFlow, PyTorch, AWS/GCP/Azure).

Qualifications

• PhD or Master’s in a quantitative field is required.
• 8+ years of data science and ML experience with impact.
• Deep knowledge of ML algorithms (DL, RF, SVM, clustering).
• Proficient in Python or R and ML libraries (TensorFlow, PyTorch, Scikit-learn).

Responsibilities

• Lead end-to-end ML model development and deployment for business apps.
• Design data mining strategies and robust data pipelines.
• Perform exploratory data analysis to identify insights.
• Mentor junior data scientists and promote best practices.
• Collaborate with stakeholders to translate needs into DS solutions.
• Evaluate new algorithms and technologies and present results.
• Ensure scalability and reliability of deployed models.
• Contribute to strategic data science vision.

Skills

Leadership

Mentoring

Machine Learning

Data Analysis

Education

PhD or Master's in CS/Statistics/Math

Tools

TensorFlow

PyTorch

Scikit-learn

Python

R

SQL

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 in Randburg, Gauteng, seeks a Principal Data Scientist to lead ML initiatives and drive data-driven decisions across the business. You will mentor a team of data scientists and collaborate with cross-functional teams to deliver innovative solutions.

The ideal candidate holds a PhD or Master’s in a quantitative field, 8+ years in data science, and deep expertise in ML algorithms, statistical modeling, and cloud platforms (Python/R, TensorFlow, PyTorch, AWS/GCP/Azure).