Lead AI/ML Data Scientist — Build & Lead Advanced Models

Placements24; Cape Town; On-site; ZAR 1,000,000 - 1,700,000; Full time

Benefits offered by this job

Generous bonus potential

Comprehensive health insurance

AI/ML training opportunities

Access to cutting-edge technology

Vibrant team culture in Cape Town

Job summary

Placements24 in Cape Town is seeking a Lead Data Scientist to spearhead AI/ML initiatives, shape data strategy, and mentor a team of skilled data scientists. You’ll develop predictive models, drive product innovation, and collaborate with cross-functional teams to unlock data-driven business insights.

The role demands a PhD/Masters in a quantitative field, 7+ years of data science experience, and deep knowledge of Python or R and ML libraries.

Qualifications

• Master’s or PhD in Computer Science, statistics, mathematics or a related quantitative field.

Responsibilities

• Develop, implement, and deploy sophisticated machine learning models for prediction, classification, and optimization tasks.
• Lead the design and architecture of end-to-end data science solutions, from data acquisition to model deployment and monitoring.
• Manage and mentor a team of data scientists, providing technical guidance and fostering a collaborative environment.
• Collaborate with product management, engineering, and business stakeholders to identify opportunities for data-driven solutions.
• Evaluate and integrate new technologies and methodologies to evolve the company’s data science capabilities.
• Communicate complex findings to both technical and non-technical audiences.

Skills

Team leadership

Data science

Problem solving

Big data

Communication

Education

Master’s or PhD in Computer Science, Statistics, Mathematics

Tools

Python

R

TensorFlow

PyTorch

Scikit-learn

Job description

Placements24 in Cape Town is seeking a Lead Data Scientist to spearhead AI/ML initiatives, shape data strategy, and mentor a team of skilled data scientists. You’ll develop predictive models, drive product innovation, and collaborate with cross-functional teams to unlock data-driven business insights.

The role demands a PhD/Masters in a quantitative field, 7+ years of data science experience, and deep knowledge of Python or R and ML libraries.