Data Science Instructor
We're a agile team of learners and instructors dedicated to preparing students for the next-generation data science ecosystem through immersive hands-on learning. We're searching for a passionate and experienced Data Science Instructor to join us. You'll be instrumental in shaping future data professionals, focusing on practical skills in SQL, Python, Machine Learning, and real-world project development. Responsibilities:
- Develop and deliver engaging lessons and workshops on core data science topics, with a strong emphasis on SQL and Python programming.
- Explain complex technical concepts clearly and concisely, making them accessible to a diverse group of learners.
- Provide constructive feedback and mentorship, supporting students as they navigate challenges and deepen their understanding.
- Collaborate with our team to continuously refine and enhance our curriculum, ensuring it remains relevant and cutting-edge.
- Stay current with industry trends and advancements in data science and machine learning. Required Qualifications:
- Proven experience as a Data Scientist, Machine Learning Engineer, or similar role, with a strong portfolio showcasing demonstrative experience with projects in Python and machine learning.
- Expert-level proficiency in Python for data analysis, manipulation, and model building.
- In-depth practical experience with common machine learning models, specifically: linear regression, logistic regression, decision trees, and random forests.
- Exceptional ability to design and lead hands-on projects that foster practical skill development.
- Strong communication and presentation skills, with a talent for explaining intricate technical details clearly.
- Proficiency in SQL for data querying and management. Preferred Qualifications:
- Experience with Natural Language Processing (NLP) concepts.
- Exposure to Large Language Models (LLMs) or chatbot development.
- Prior experience in teaching, mentoring, or training roles.
📌 Data Science Instructor (Lucknow)
🏢 NDMIT
📍 Lucknow