Roles & Responsibilities:
- Conducting classroom or online lectures on Data Science, Machine Learning, Deep Learning, AI, SQL, Python, and related technologies.
- Assigning and evaluating practical exercises, projects, and data-driven case studies.
- Guiding students one-on-one with coding support, doubt-solving, and project mentoring.
- Ensuring that the course curriculum is updated, practical, and aligned with current industry needs.
- Collaborating with other trainers and content developers to create and improve training materials.
- Maintaining accurate records of student performance, attendance, and progress reports.
- Creating a positive, engaging, and hands-on learning environment for students.
- Participating in faculty meetings, workshops, and continuous professional development activities.
- Keeping up-to-date with the latest advancements in Data Science tools, frameworks, and technologies.
Job Qualification & Skill Sets:
- A Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or a related field.
- Minimum 1 year of experience as a Data Science Trainer
- Strong knowledge of Python programming, data analysis libraries and data visualization tools
- Proficiency in SQL for data extraction, manipulation, and analysis.
- Familiarity with AI concepts, NLP, computer vision, and data preprocessing techniques.
- Excellent communication, presentation, and mentoring skills.
- A passion for teaching and empowering students to build strong careers in Data Science.
- Ability to work independently as well as collaboratively within a team.
Work Location: In person