Programming for Data Science - Online Facilitation

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 LINC Fellows will be responsible for providing: 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; and 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.).