Online Python & Data Science Instructor

LINC Education; United States; À distance; USD 83 000 - 165 000; Plein temps

Avantages offerts par ce poste

Flexible schedule

Remote work

Résumé du poste

LINC Education is seeking an experienced online educator (LINC Fellow) to work as an independent contractor, serving a diverse international student body for Masters-level programs.

The role requires strong Python and data science knowledge, with focus on data collection, storage, analysis, and project-based learning using NumPy and Pandas. Candidates should be available IST 2:30 pm–7 pm daily.

Qualifications

• PG/Doctoral degree with distinction or first-class from a top university in India.
• At least 5 years of corporate experience and/or teaching experience in relevant fields at a leading university or college.
• Empathetic and outgoing personality with cross-cultural awareness.
• Proficient in English with excellent written and spoken communication.
• Must have a laptop and reliable high-speed internet (>10 Mbps).
• Familiar with university LMS and LINCtrac platforms (training provided).
• Availability between 2:30 pm to 7:00 pm IST every day.

Responsabilités

• Provide subject-matter guidance to groups of 25-30 online students.
• Support in academic writing, research, and time management.
• Conduct 1:1 and small group tutoring sessions.
• Guide on reference materials and resources.
• Mark assessments with detailed feedback.
• Moderate discussion forums and respond to queries promptly.

Connaissances

Python programming fundamentals

Data science fundamentals

Data collection

Data management

Data handling

NumPy

Pandas

Data analysis

Programming-based problem solving

Practical data science project

Formation

PG/Doctoral degree

Outils

LMS

LINCtrac

Description du poste

LINC Education is seeking an experienced online educator (LINC Fellow) to work as an independent contractor, serving a diverse international student body for Masters-level programs.

The role requires strong Python and data science knowledge, with focus on data collection, storage, analysis, and project-based learning using NumPy and Pandas. Candidates should be available IST 2:30 pm–7 pm daily.