Programming for Data Science - Online Facilitation

LINC Education; United States; Remote; USD 83,000 - 165,000; Full time

Benefits offered by this job

Flexible schedule

Remote work

Job summary

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.

Responsibilities

• 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.

Skills

Python programming fundamentals

Data science fundamentals

Data collection

Data management

Data handling

NumPy

Pandas

Data analysis

Programming-based problem solving

Practical data science project

Education

PG/Doctoral degree

Tools

LMS

LINCtrac

Job description

Category: Education Location: MDS5023-Programming For Data Science

As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body for Masters-level programs studying at premier Australian and Asian universities. Candidate must possess strong knowledge of Python programming and foundational data science, with expertise in collecting, storing, managing, and analysing diverse data formats. They should be able to support students in applying Python programming techniques to data science problems, using NumPy and Pandas for data analysis, and developing practical solutions through structured data science processes and project-based learning.

Key Skills Required

• Python programming fundamentals
• Data science fundamentals
• Data collection and management
• Data handling and storage
• NumPy
• Pandas
• Data analysis
• Data science processes
• Programming-based problem solving
• Practical data science project development

Desired Candidate Profile

• 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 the relevant fields at a leading university or college (Note: Candidates with formal teaching experience at a university or college are preferred);
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse cultures;
• Proficient in English language; excellent oral and written communication;
• Must possess a working laptop and have access to high-speed (>10 MBPS) stable internet connection;
• Ability to quickly learn and use technology platforms for interacting with students, including the host university’s LMS and LINCtrac (training on these platforms will be provided).
• The candidate needs to be available between 2.30 pm to 7 pm IST everyday.

Roles & Responsibilities

• Subject matter guidance to a group of 25-30 undergraduate online students;
• Support in learning skills like academic writing, research and time management;
• 1:1 and small group tutoring sessions;
• Guidance on relevant reference material;
• Assessment marking with long-form feedback;
• Management of discussion forums;
• Proactive, prompt and personalised support to student queries and issues.

LINC Fellows will be expected to promptly interact with students over email, or calls / online sessions from locations of their convenience (e.g. home, office, etc.).