Data Science Trainer

Key Responsibilities:  Training Delivery:  Conduct engaging and interactive training sessions on Python and data science topics, both online and offline.  Design and deliver hands-on projects, case studies, and assignments to reinforce learning.  Break down complex concepts into easy-to-understand lessons.  Curriculum Development:  Develop and update course materials, including presentations, exercises, and assessments, to stay aligned with industry trends.  Create structured learning paths for different skill levels (beginner to advanced).  Technical Expertise:  Cover topics such as Python fundamentals, libraries (NumPy, Pandas, Matplotlib, Scikit-learn, etc.), data cleaning, and analysis.  Teach machine learning algorithms, data visualization, and exploratory data analysis (EDA).  Incorporate real-world datasets and tools (e.g., Jupyter Notebook, SQL, TensorFlow) into training.  Student Engagement:  Provide guidance and mentorship to students, addressing queries and offering personalized feedback.  Conduct assessments and provide constructive feedback to improve student learning outcomes.  Foster a positive and motivating learning environment.  Industry Updates:  Stay up-to-date with emerging trends, tools, and techniques in data science and Python programming.  Incorporate the latest developments and use cases into the training content.  Performance Tracking:  Monitor and track student progress.  Provide regular updates and feedback to management on the effectiveness of training programs. Skills and Competencies:  Proficiency in Python and its libraries for data analysis and visualization (NumPy, Pandas, Matplotlib, Seaborn, etc.).  Strong knowledge of machine learning algorithms and tools like Scikit-learn, TensorFlow, or PyTorch.  Experience with SQL, data cleaning, and data preprocessing techniques.  Excellent communication and presentation skills.  Ability to create an engaging and interactive learning experience.  Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus. Preferred Qualifications:  Prior experience as a trainer or educator in Python ( Django) and data science.  Industry experience in data science, machine learning, or analytics roles.  Certifications such as Google Data Analytics, AWS Machine Learning, or similar are an advantage.

Job Types: Full-time, Permanent

Pay: ₹18,000.00 - ₹25,000.00 per month

Benefits:

• Internet reimbursement

Work Location: In person