Part-Time Data Science Tutor - Remote

We are seeking a dedicated and knowledgeable  Part-Time Data Science Tutor to provide one-on-one tutoring sessions to college and university-level students. This is a remote position, ideal for individuals with a strong background in data science, excellent communication skills, and a passion for teaching. Freshers with a solid understanding of data science concepts are also encouraged to apply. Responsibilities:

• Conduct one-on-one online tutoring sessions for students, focusing on data science concepts, tools, and techniques.
• Teach topics such as Python, R, SQL, machine learning, data visualization, statistical analysis, and other relevant tools and technologies.
• Adapt teaching methods to suit the individual learning needs of students.
• Provide clear explanations, practical examples, and hands-on guidance to help students grasp complex concepts.
• Assist students with assignments, projects, and exam preparation.
• Maintain a professional and supportive learning environment.

Requirements:

• Strong knowledge of data science tools, techniques, and programming languages (e.g., Python, R, SQL, etc.).
• Excellent English communication skills, both verbal and written.
• Prior teaching or tutoring experience is preferred but not mandatory; freshers with a strong grasp of data science concepts are welcome to apply.
• Ability to explain complex topics in a simple and engaging manner.
• Reliable laptop and stable internet connection (proper Wi-Fi) for conducting online sessions.
• Availability for part-time hours and flexibility to accommodate student schedules.
• Serious candidates only; must agree to the compensation of ₹400-500/hour .

Preferred Qualifications:

• Experience in teaching or mentoring students in a remote setting.
• Familiarity with online teaching tools and platforms.
• Passion for education and helping students succeed.

Note: If you have applied for this position before, there is no need to reapply. If you are passionate about data science and enjoy teaching, we encourage you to apply. This is an excellent opportunity to share your knowledge, gain teaching experience, and work in a flexible, remote setting. How to Apply: Please submit your application, including your resume and a brief cover letter highlighting your relevant experience and why you are interested in this role. Join us in shaping the future of aspiring data scientists!