[Hiring] Data Mining @Linc Education Services Pte Ltd

Role Description

This is a remote position.

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
• 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
• Association rule mining

While demonstrating appropriate model validation and data quality practices for effective knowledge discovery and business decision-making.

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 the relevant fields at a leading university or college (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)
• Availability between 2.30 pm and 7 pm IST every day

Requirements

• 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

Roles & Responsibilities

• 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
• Proactive, prompt and personalised support to student queries and issues
• Expected to promptly interact with students over email or calls/online sessions from locations of their convenience (e.g., home, office, etc.)