Hybrid Lead Data Scientist – Scientific Computing

Placements24; Stellenbosch; Hybrid; ZAR 1,200,000 - 2,100,000; Full time

Benefits offered by this job

Health insurance

Retirement contributions

Generous paid time off

Access to cutting-edge computational资源

Professional growth through training &

Job summary

Placements24 is seeking a Lead Data Scientist to spearhead scientific computing initiatives in a hybrid setup at Stellenbosch, Western Cape. The role combines building predictive models with extracting actionable insights from large, complex datasets.

You will mentor junior staff, collaborate with researchers, and help shape data science strategy while working across disciplines in a stimulating environment.

Qualifications

• PhD or Master’s in data science, statistics, CS, physics, or related field.
• Minimum 6 years of experience applying analytical techniques to scientific problems.
• Proficiency in Python or R and ML libraries; strong statistical modeling.
• Experience with big data technologies and databases.

Responsibilities

• Lead the development and deployment of data science projects.
• Build and validate statistical and ML models for research.
• Analyze large-scale datasets to identify trends and insights.
• Collaborate with researchers across domains to solve data challenges.
• Develop data visualization tools and communicate findings.
• Mentor junior data scientists and analysts.
• Guide tool and platform selection for data science initiatives.
• Ensure reproducibility and integrity of analyses.

Skills

Python

R

Data analysis

ML frameworks

Big data

Education

PhD or Master’s

Quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

SQL/NoSQL

Job description

Placements24 is seeking a Lead Data Scientist to spearhead scientific computing initiatives in a hybrid setup at Stellenbosch, Western Cape. The role combines building predictive models with extracting actionable insights from large, complex datasets.

You will mentor junior staff, collaborate with researchers, and help shape data science strategy while working across disciplines in a stimulating environment.