Part-Time Data Science Tutor – Remote (2-10 Years Experience)

We are looking for a passionate and experienced Part-Time Data Science Tutor to join our growing team in a remote, one-on-one teaching setup . This opportunity is ideal for professionals who have a strong background in Data Science and Computer Science domains and enjoy mentoring college and university-level students . Key Responsibilities: Conduct personalized, one-to-one online tutoring sessions (no group or batch classes). Deliver high-quality training in Data Science tools, techniques, and concepts . Assist students with assignments, projects, and understanding of core Data Science subjects. Ensure that students are well-supported and can grasp complex topics with ease. Communicate regularly with students in clear, fluent English . Create a structured learning path according to the student’s academic requirements and skill level. Requirements: Experience: 2–10 years in Data Science tutoring or teaching (remote experience preferred). Freshers with excellent subject knowledge and communication skills can also apply. English fluency is mandatory. Should have a working laptop and proper internet (Wi-Fi) connection . Must be available for part-time flexible hours , depending on student availability. Tools/Skills : Python, R, SQL, Machine Learning, Excel, Jupyter, Power BI, Tableau, and other related tools and techniques relevant to Computer Science/Data Science. Ability to explain technical concepts clearly to both beginners and advanced students. Compensation: ₹400–₹500 per hour. Payment will be based on the number of sessions completed. Additional Information: This is a serious teaching opportunity. Please apply only if you are committed to teaching and mentoring students with dedication. Do not apply if you have already applied earlier. Only candidates who meet the above conditions and are ready to work in a one-on-one, remote teaching model should apply. If you are enthusiastic about teaching, have excellent communication skills, and are passionate about Data Science and Computer Science, we would love to hear from you! Show more Show less