Data Mining (4CR)- Online Facilitation
Location:
BAA5044-Data Mining (4CR)
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 Master of Business Analytics programs studying at premier Australian and Asian universities. The candidate must possess strong knowledge of data mining and applied data analytics, with expertise in analysing business problems, preparing and transforming data, and developing models to extract meaningful patterns and insights. They should be able to support students in applying supervised and unsupervised learning techniques to real-world datasets, including classification, regression, clustering, and association rule mining, while demonstrating appropriate model validation and data quality practices for effective knowledge discovery and business decision-making.
Key Skills Required
Data mining processes and applications
Data pre-processing, cleaning, and quality assessment
Data analysis and knowledge discovery
Supervised learning techniques
Classification and regression
Model development and validation
Unsupervised learning techniques
Clustering and pattern recognition
Association rule mining
Practical application of data mining to real-world business problems
Critical thinking and analytical problem-solving
Ability to work with real-world datasets and derive actionable insights
Ability to support Master of Business Analytics-level assessments and practical projects
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 the English language; excellent oral and written communication
Must possess a working laptop and have access to a 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 and 7 pm IST every day.
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.).
Details