
Python Data Science Educator
2 days ago
Key Responsibilities:
- Deliver live online classes, recorded sessions, and workshops on Python and Data Science topics.
- Teach students concepts ranging from Python basics to advanced libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, etc.).
- Introduce and explain statistics, data visualization, exploratory data analysis, machine learning, and AI basics.
- Design assignments, quizzes, and projects to enhance practical learning.
- Guide students in capstone projects and mentor them on coding practices.
- Stay updated with the latest trends in Data Science & AI and integrate them into course content.
- Provide doubt-solving support via live Q&A, forums, or chat.
- Create a positive and engaging learning environment for college students and beginners.
Required Skills & Qualifications:
- Strong proficiency in Python programming.
- Solid understanding of Data Science, Machine Learning, and AI fundamentals.
- Hands-on experience with libraries/tools: Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, Jupyter Notebook, SQL.
- Familiarity with data preprocessing, model building, and evaluation techniques.
- Prior teaching, mentoring, or online training experience (preferred but not mandatory).
- Excellent communication and presentation skills.
- Ability to simplify complex topics for beginners.
Education & Experience:
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field (preferred).
- Industry or academic experience in Data Science/AI projects.
- Teaching certifications (optional but a plus).
Perks & Benefits:
- Flexible work schedule (remote teaching).
- Opportunity to work on cutting-edge data science projects.
- Competitive compensation (hourly / per batch / full-time).
- Exposure to a global student base.
- Growth opportunities as a lead trainer or course creator.
Job Types: Part-time, Contractual / Temporary
Contract length: 2 months
Pay: From ₹30,000.00 per month
Expected hours: 6 – 15 per week
Application Question(s):
- How many years of experience do you have with Python programming?
- Can you briefly explain the difference between supervised and unsupervised learning in simple terms (like you would to a beginner student)?
- Have you worked on any real-world data science projects? If yes, please describe one briefly.
- Do you have prior online teaching or mentoring experience? If yes, what platforms or institutions have you worked with?
- How do you keep students engaged during online sessions?
- Why are you interested in teaching Python + Data Science online?
- What is your preferred working schedule (weekday evenings, weekends, full-time, etc.)?
Work Location: Remote
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