Job
Description
Key Responsibilities: Design and deliver high-quality lectures, hands-on workshops, and project-based learning sessions in data science. Develop training materials, including presentations, exercises, datasets, and real-world case studies. Teach core topics such as Python programming, statistics, machine learning, deep learning, data visualization, and data wrangling. Guide learners through capstone projects, coding assignments, and industry use cases. Continuously update course content to reflect industry trends and new technologies. Conduct assessments and provide constructive feedback to learners. Mentor and support students through one-on-one guidance, group discussions, and career counseling sessions. Collaborate with curriculum designers and other faculty members to ensure effective content delivery and learning outcomes. Contribute to webinars, workshops, and seminars hosted by the organization. Required Skills & Qualifications: Bachelor's or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Minimum 1 years of hands-on experience in data science or a related domain. Proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SQL, and data visualization tools (e.g., Matplotlib, Seaborn, Power BI, Tableau). Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques. Excellent verbal and written communication skills. * Job Types: Full-time, Permanent Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Cell phone reimbursement Health insurance Provident Fund Schedule: Day shift Work Location: In person
