
Data Science Tutor
4 days ago
We are looking for Data Science Tutor on Part-time basis for our Level 7 in Data Science Program.
We are seeking a passionate and experienced Data Science Instructor for our Level 7 in Data Science Program to teach weekend classes tailored for foreign learners. This is a remote, part-time role ideal for professionals who want to contribute to global education while managing other commitments.
Key Responsibilities:
- Deliver interactive and engaging online classes on weekends to international students.
- Design and update course materials tailored to the needs of foreign learners (language clarity, examples, cultural relevance).
- Provide mentorship, guidance, and feedback to students on projects and assignments.
- Conduct assessments and track student progress.
- Communicate effectively with learners from diverse backgrounds and time zones.
- Collaborate with the academic team to improve curriculum and teaching practices.
Requirements:
- Master's/Ph.D. in Data Science, Computer Science, Statistics, or related field.
- 2+ years of teaching or training experience (online preferred).
- Proficient in Python, SQL, machine learning, data visualization, and tools like Jupyter, Pandas, scikit-learn.
- Excellent communication skills with the ability to explain complex concepts in simple terms.
- Experience working with non-native English speakers is a plus.
- Flexibility to teach on weekends (timezone adjustments may apply).
Preferred Qualifications:
- Experience teaching in international or multicultural environments.
- Familiarity with LMS platforms (e.g., Moodle, Canvas, Google Classroom).
- Certifications in Data Science or related fields (e.g., from Coursera, edX, Udacity, etc.).
- Classes will be on weekends
- Must have minimum 2 years teaching experience in Data Science
- Looking for a long term association
Job Type: Part-time
Pay: ₹ ₹750.00 per hour
Benefits:
- Work from home
Application Question(s):
- Do you have experience in Tutoring Data Science?
Education:
- Master's (Required)
Work Location: Remote
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