Data Science Teacher

Job Description

Aptech Malir is seeking a knowledgeable and dedicated Data Science Teacher to join our educational team. This role involves delivering high-quality instruction on machine learning concepts, data cleaning techniques, and Python scripting to students aiming to build strong foundations in data science. The ideal candidate possesses practical experience in data science and is passionate about teaching. The position requires punctuality and adherence to scheduled classes to ensure consistent learning experiences. Although this role does not involve managing a team, the teacher is responsible for guiding students and fostering their development through effective communication and structured lessons. The Data Science Teacher works closely with the curriculum development team to design engaging and relevant course material that meets current industry standards and technological advancements. The teacher evaluates student progress by conducting assessments and providing constructive feedback to help learners understand complex data science concepts. By staying updated with the latest trends in machine learning and data processing, the teacher ensures that the training remains comprehensive and prepares students for practical challenges in the field. The role demands a minimum of two years of professional experience in data science, supplemented by a strong commitment to punctuality and instructional excellence.
Responsibilities
 

• Develop and deliver clear, structured lessons covering machine learning concepts, data cleaning techniques, and Python scripting.
• Create instructional materials and resources that enhance student understanding and engagement in data science topics.
• Conduct regular assessments to evaluate student progress and provide insightful feedback to support learning growth.
• Maintain punctuality and ensure timely commencement and completion of all scheduled classes.
• Collaborate with the curriculum team to update course content in alignment with the latest industry standards and technological advancements.
• Assist students in applying theoretical knowledge to practical problems and projects to reinforce learning.
• Provide additional support and mentoring to students who require extra help in understanding course concepts.
• Stay informed about recent developments in data science and incorporate new techniques into teaching methodologies.
• Ensure a positive and inclusive classroom environment that encourages active participation and collaborative learning.
• Track and report student attendance and progress to program coordinators and administrators as required.