Data Mining – Online Facilitation

Job Description This is a remote position. MDM5063-Data Mining 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 data mining techniques, predictive analytics, and data modelling methodologies. They should be able to support students in applying the data mining process, performing data pre-processing and exploration, implementing supervised and unsupervised learning techniques, and evaluating models to generate meaningful insights for data-driven decision-making. Key Skills Required Data mining Data pre-processing Data exploration Predictive modelling Classification and estimation Clustering and association rules Machine learning techniques Data-driven decision-making 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.).