AI Data Scientist | Hybrid Work & Impactful ML

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

Benefits offered by this job

Competitive salary and bonuses

Health, dental, and vision insurance

Professional development opportunities

Hybrid work arrangement and work-life

Paid time off and holidays

Retirement savings plan with employer

Job summary

Placements24 seeks a talented Data Scientist in Sandton, Gauteng to develop, validate and deploy AI/ML models on large datasets. You will translate insights into actionable business strategies while collaborating in a hybrid team environment with on-site and remote work.

The role requires advanced degrees and proven experience with Python or R and ML libraries, plus strong analytical and communication skills to present complex results to diverse audiences.

Qualifications

• Master's or PhD in a quantitative field required.
• Proven experience with AI/ML models and data science projects.
• Proficiency in Python or R and ML libraries.
• Strong analytical and communication skills; ability to present results.

Responsibilities

• Design, develop, and deploy predictive models and ML algorithms.
• Clean, process, and analyze large datasets to identify trends.
• Validate model performance and interpret results for stakeholders.
• Translate business needs into data science requirements.
• Develop data pipelines for model training and deployment.
• Experiment with new algorithms to improve accuracy.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated with advances in data science and AI.
• Contribute to data science best practices and standards.
• Collaborate in a hybrid team environment, on-site and remotely.

Skills

Analytical thinking

Problem solving

Communication

Presentation skills

Education

Master's or PhD in Statistics/CS/Mathematics

Tools

Python

R

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

SQL/NoSQL

AWS/Azure/GCP

Job description

Placements24 seeks a talented Data Scientist in Sandton, Gauteng to develop, validate and deploy AI/ML models on large datasets. You will translate insights into actionable business strategies while collaborating in a hybrid team environment with on-site and remote work.

The role requires advanced degrees and proven experience with Python or R and ML libraries, plus strong analytical and communication skills to present complex results to diverse audiences.