Data Science Trainer

About the Role:

Data Science Trainer

Key Responsibilities:

• Deliver classroom and online training sessions on Data Science and related technologies.
• Train students on topics including Python, Machine Learning, Deep Learning, Generative AI, Statistics, NLP, Data Visualization, etc.
• Design and develop course content, assessments, and projects.
• Mentor students individually and in groups to ensure proper understanding and application of concepts.
• Stay updated with industry trends and emerging tools in AI/ML/DS.
• Evaluate students’ performance and provide constructive feedback.
• Collaborate with the curriculum development team to continuously improve the training content.

Required Skills & Qualifications:

• Bachelor's or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
• 2+ years of experience in training/mentoring in the ed-tech or academic space.
• Proficient in Python and its libraries (NumPy, Pandas, Scikit-learn, TensorFlow, etc.)
• Hands-on knowledge of Machine Learning and Deep Learning algorithms.
• Strong knowledge of Generative AI (ChatGPT, DALL·E, Midjourney, LLMs, etc.) is a plus.
• Good communication and presentation skills.
• Ability to engage and motivate learners of varying levels.