Data Science Trainer

Blitz Academy is seeking a skilled and passionate Data Science Trainer/Faculty to join our academic team. The ideal candidate will deliver high-quality training sessions in Data Science, Machine Learning, and Python Programming, R ,and actively contribute to academic and real-world development projects. This role is perfect for professionals who enjoy mentoring while keeping their technical skills sharp. Key Responsibilities: Training & Mentorship: * Design and conduct interactive sessions on Python, Data Science, Machine Learning, Deep Learning, and related technologies. * Develop curriculum, tutorials, assignments, and evaluation tools tailored for students at different learning levels. * Offer individual mentorship and support to students to help them build strong foundational and practical knowledge. * Stay abreast of the latest industry trends, tools, and techniques and integrate them into teaching. Project Support: * Contribute to internal and external data science or analytics projects. * Guide students on project development, capstone projects, and real-world problem-solving. Required Skills & Competencies: * Proficient in Python programming, R * Hands-on experience with data science libraries: Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, etc. * Basic exposure to TensorFlow or PyTorch. * Strong grasp of SQL databases and data querying. * Solid understanding of statistics, data wrangling, and data visualization techniques. * Good knowledge of Machine Learning and Deep Learning models. * Understanding of NLP and working with textual data. * Proficiency in tools like Excel and Microsoft Power BI for data analysis. * Strong communication and presentation skills. * Ability to break down complex concepts into simple, engaging explanations. Good to Have: * Familiarity with cloud platforms like AWS, Azure, or GCP. * Experience with deployment tools and model deployment techniques. Job Types: Full-time, Permanent Pay: ₹25,000.00 - ₹35,000.00 per month Schedule: Day shift Work Location: In person Application Deadline: 22/06/2025 Expected Start Date: 25/06/2025