Remote Senior Data Scientist (ML) – Impact & Innovation

Placements24; LegKraal Gate; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Health and wellness benefits

Professional development opportunities

Fully remote work

Job summary

Placements24 is hiring a Senior Data Scientist with a strong ML focus for a fully remote position within South Africa. You will design, develop, and deploy advanced ML models to solve complex business problems and enable data-driven decision making.

The role requires deep statistical modeling knowledge, strong programming skills (Python or R), and experience with ML libraries. Collaboration with cross-functional teams and mentoring junior data scientists are part of the role.

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, Physics or related quantitative field.
• Minimum 5 years of professional data science experience with emphasis on ML.
• Strong programming skills in Python or R and ML libraries.

Responsibilities

• Design, develop, and deploy ML models for predictive analytics, classification, clustering, and anomaly detection.
• Prepare data: clean, transform, and feature engineer large datasets.
• Evaluate models, tune hyperparameters, and optimize for accuracy and efficiency.
• Collaborate with stakeholders across departments to translate business needs into data science problems.
• Communicate insights through visuals and reports to technical and non-technical audiences.
• Stay updated with ML advancements and contribute to best practices.

Skills

Python

R

Machine Learning

Data modeling

SQL

Education

Master's degree

PhD

Tools

Scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Job description

Placements24 is hiring a Senior Data Scientist with a strong ML focus for a fully remote position within South Africa. You will design, develop, and deploy advanced ML models to solve complex business problems and enable data-driven decision making.

The role requires deep statistical modeling knowledge, strong programming skills (Python or R), and experience with ML libraries. Collaboration with cross-functional teams and mentoring junior data scientists are part of the role.