Senior Data Scientist – ML Innovation, Flexible Work

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

Benefits offered by this job

Health insurance

Generous annual leave

Professional development

State-of-the-art facilities

Flexible working

Bonuses

Retirement savings

Job summary

Placements24 is seeking a Senior Data Scientist to join its R&D team in Johannesburg. You will build and deploy advanced ML models, explore diverse datasets, and drive data-driven insights across the organization.

The role requires a strong background in ML, statistics, and programming with Python or R, plus cloud and big data experience. Collaboration with cross-functional teams and mentoring juniors are key aspects.

Qualifications

• Master's or Ph.D. in a quantitative field (CS/STAT/MATH/PHYS) required.
• Minimum 5 years of data science experience focused on ML and statistical modeling.
• Proficiency in Python or R and libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
• Strong SQL skills and experience with large datasets.
• Experience with cloud platforms (AWS/Azure/GCP) and big data tools (Spark/Hadoop) preferred.

Responsibilities

• Develop, deploy ML models for predictive analytics, pattern recognition, and anomaly detection.
• Conduct exploratory data analysis to identify trends and opportunities for business improvement.
• Collaborate with engineers, domain experts, and product managers to define project scope and deliver results.
• Design experiments to validate model performance and identify optimization areas.
• Mentor junior data scientists and contribute to the data science community.

Skills

Problem-solving

Communication

Team collaboration

Education

Master's or PhD in CS/Statistics/Math/Physics

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

SQL

AWS

Azure

GCP

Spark

Hadoop

Job description

Placements24 is seeking a Senior Data Scientist to join its R&D team in Johannesburg. You will build and deploy advanced ML models, explore diverse datasets, and drive data-driven insights across the organization.

The role requires a strong background in ML, statistics, and programming with Python or R, plus cloud and big data experience. Collaboration with cross-functional teams and mentoring juniors are key aspects.