Data Science Instructor

Placements24; Sandton; Híbrido; ZAR 350.000 - 650.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive remuneration

Hybrid work arrangements

In-person and online instruction

Career growth opportunities

Curriculum support

Descripción de la vacante

Placements24 in Sandton is seeking a Data Science Instructor to lead intensive training programs on data analysis, machine learning, and data visualization for professionals.

You will guide students through hands-on projects using Python/R, Pandas, and visualization tools, delivering practical learning and up-to-date methodologies.

This role offers a mix of in-person and online instruction and opportunities to shape the curriculum and support learners on their career paths.

Formación

• Proven professional experience in Data Science or related quantitative field.
• Ability to teach technical concepts to diverse learners.

Responsabilidades

• Deliver engaging and informative training sessions on Data Science topics, including Python for data analysis, machine learning algorithms, statistical modelling, and data visualization techniques.
• Facilitate hands-on labs and coding exercises, ensuring students gain practical experience with industry-standard tools and libraries.
• Develop and update course materials, including presentations, code repositories, and case studies, to reflect current industry best practices.
• Provide mentorship and support to students throughout their learning journey, answering questions and offering guidance on projects.
• Assess student understanding through quizzes, projects, and practical assignments.

Conocimientos

Data Science

Python

R

Teaching

Communication

Herramientas

Pandas

NumPy

Scikit-learn

TensorFlow

Matplotlib

Seaborn

Tableau

Descripción del empleo

About the Role

Our client is searching for a skilled and engaging Data Science Instructor to join their educational team in Sandton . This role involves delivering intensive training programs focused on data analysis, machine learning, and data visualization to professionals looking to upskill. You will provide practical, hands-on learning experiences, guiding students through real-world projects and equipping them with the latest data science tools and methodologies, contributing to a dynamic learning environment that drives career advancement for participants in the tech industry.

Key Responsibilities

• Deliver engaging and informative training sessions on Data Science topics, including Python for data analysis, machine learning algorithms, statistical modelling, and data visualization techniques.
• Facilitate hands-on labs and coding exercises, ensuring students gain practical experience with industry-standard tools and libraries.
• Develop and update course materials, including presentations, code repositories, and case studies, to reflect current industry best practices.
• Provide mentorship and support to students throughout their learning journey, answering questions and offering guidance on projects.
• Assess student understanding through quizzes, projects, and practical assignments.

Requirements

• Proven professional experience in Data Science , Machine Learning, or a related quantitative field.
• Strong proficiency in programming languages such as Python or R, and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
• Demonstrated ability to effectively teach technical concepts to an audience with varying levels of experience.
• Excellent presentation, communication, and interpersonal skills.
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.

Benefits

• Competitive remuneration for instructional services.
• Flexible work arrangements, including opportunities for both in-person and online instruction.
• Exposure to diverse professional learners and industry challenges.
• Opportunity to shape the skills of future data professionals.
• Collaborative environment with ongoing curriculum support.