Data science trainer

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 Masters 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.