Lead Data Scientist - AI & Machine Learning

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

About the Role

Our client, a rapidly growing tech firm in Cape Town, is looking for a visionary Lead Data Scientist to spearhead their artificial intelligence and machine learning initiatives. You will play a crucial role in shaping the company's data strategy, developing predictive models, and leveraging advanced analytics to drive business insights and product innovation. This is an exciting opportunity to build and lead a team of talented data scientists, working on challenging problems at the forefront of AI technology. You'll be empowered to explore new techniques and tools, contributing significantly to the company's competitive edge in the market and its overall technological advancement.

Key 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 key opportunities for data-driven solutions.
• Evaluate and integrate new technologies and methodologies to enhance the company's data science capabilities.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Extensive experience (7+ years) in data science, with a strong focus on AI and machine learning.
• Demonstrated expertise in programming languages such as Python or R, and libraries like TensorFlow, PyTorch, or Scikit-learn.
• Proven experience in leading data science projects and teams.
• Deep understanding of statistical modeling, data mining, and machine learning algorithms.
• Excellent problem-solving abilities and experience with big data technologies.

Benefits

• Generous salary package with significant bonus potential.
• Comprehensive health insurance, including wellness programs.
• Opportunities for advancement and professional growth, including specialized AI/ML training.
• Access to cutting-edge technology and computational resources.
• Vibrant company culture with regular team-building events in Cape Town.