Remote Head of Data Science, AI & ML Leadership

Placements24; Benoni; Remote; ZAR 2,000,000 - 3,500,000; Full time

Benefits offered by this job

Executive compensation

Stock options

Health benefits

Remote work

Job summary

Placements24 is seeking a Head of Data Science for a remote role within South Africa. You will define the data science strategy, build and mentor a world-class team of data scientists and ML engineers, and drive the development of cutting-edge AI models.

Lead the research roadmap, oversee model deployment, and foster an innovative, collaborative environment. Strong leadership, strategic vision, and deep ML expertise are essential.

Qualifications

• Requires Ph.D. or Master’s in a quantitative field such as Data Science, CS, Statistics or Mathematics.
• Minimum 10 years of experience in data science and ML, with at least 4 years in leadership/management.
• Proven track record leading data science projects and delivering AI solutions.
• Expertise across ML algorithms, statistical modeling, and data mining techniques.

Responsibilities

• Define and execute the data science strategy and roadmap.
• Lead and mentor a high-performing team of data scientists and ML engineers.
• Oversee end-to-end development and deployment of AI/ML models.
• Drive innovation in predictive analytics, NLP, CV, and RL.
• Ensure ethical, responsible AI and data science practices.
• Collaborate with product, engineering, and business units to identify opportunities.

Skills

Leadership

Strategic thinking

Mentoring

Communication

Data science

Education

Ph.D. or Master’s in Data Science/CS/Statistics/Math

Tools

Python

R

TensorFlow

PyTorch

scikit-learn

Spark

Hadoop

AWS

Azure

GCP

Job description

Placements24 is seeking a Head of Data Science for a remote role within South Africa. You will define the data science strategy, build and mentor a world-class team of data scientists and ML engineers, and drive the development of cutting-edge AI models.

Lead the research roadmap, oversee model deployment, and foster an innovative, collaborative environment. Strong leadership, strategic vision, and deep ML expertise are essential.