Remote Senior Data Scientist: ML Leader, Flexible Learning

Placements24; Centurion; Hybrid; ZAR 900,000 - 1,400,000; Full time

Benefits offered by this job

Performance-based incentives

Home office stipend

Global health insurance

Paid time off

Learning opportunities

Job summary

Placements24 is seeking a Remote Senior Data Scientist specializing in Machine Learning to join a globally distributed team. You will design, implement, and deploy predictive models that address complex business challenges, uncover insights from large datasets, and drive product improvements.

You will work from anywhere, collaborating with product managers and engineers, staying current with ML research, and delivering production-ready solutions that scale across platforms.

Qualifications

• Master's or PhD in a quantitative field (CS, statistics, math) or related.
• 5+ years hands-on data science experience with production ML.
• Proficiency in Python or R and libraries like scikit-learn, TensorFlow or PyTorch.
• Strong statistical modeling, experimental design and data mining knowledge.
• Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent problem-solving and communication skills to present findings to technical and non-technical audiences.

Responsibilities

• Design, develop, and deploy advanced ML models for business needs.
• Prepare large, complex datasets for model training and evaluation.
• Evaluate models using rigorous statistical methods and iterate improvements.
• Collaborate with product managers and engineers to productionize ML solutions.
• Conduct explorations to uncover trends and data-driven opportunities.
• Stay updated with latest ML research and methods.

Skills

Data science experience

Python

R

Statistical modeling

Communication

Problem solving

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking a Remote Senior Data Scientist specializing in Machine Learning to join a globally distributed team. You will design, implement, and deploy predictive models that address complex business challenges, uncover insights from large datasets, and drive product improvements.

You will work from anywhere, collaborating with product managers and engineers, staying current with ML research, and delivering production-ready solutions that scale across platforms.