Data Science Tutor

Job type

Part-time

Shift and schedule

Weekend only
Weekend availability

Benefits

Pulled from the full job description

Work from home

Full job description

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

Expected hours: 2 per week

Benefits: