Job Location: Mumbai (All Areas)
LINC is seeking experienced faculty members in the field of Data Science and Business Analytics from leading colleges and universities.
As an experienced faculty member (LINC Fellow), the candidate will serve a
diverse international student body for Masters-level programs studying at premier Australian
universities. LINC Fellows will be the single point-of-contact for the unit-in-charge for student
academic matters.
The LINC Fellows would be actively engaged during each unit or subject which is expected to
range between 7 to 14 weeks per trimester.
What’s on offer?
The role offers a competitive remuneration between INR 30,000-50,000 per month (based on
committed weekly time, batch size and experience level of the LINC Fellow) when actively
engaged, plus performance based incentives.
The professional benefits include:
- Interacting with high-quality global university faculty
- Working with a diverse range of international students
- Developing a deeper subject understanding
- Gaining richer academic exposure
- Improving interpersonal and cross-cultural skills
The role will be part time (15-20 hours per week) with scheduled weekend availability.
Candidate will have flexibility to work from location of his/her convenience.
Roles & Responsibilities:
LINC Fellows will work closely under the guidance of the university faculty-in-charge of the
unit (or subject) and be responsible for providing:
1. Guidance to a group of 25-30 postgraduate online students to complete the module
2. Orientation and support in study planning
3. Support in report writing and research skills
4. 1:1 and small group tutoring sessions
5. Guidance on relevant reference material
6. Assessment marking
7. Feedback on work and assessments
8. Timely responses to student queries
9. Facilitated peer-to-peer interactions on discussion boards and other forums
10. Interconnections with university networks and event
LINC Fellows will be expected to promptly interact with students over email, chat, and
telephone from locations of their convenience (e.g. home, office etc.)
Desired candidate profile:
- Masters/Doctoral degree in Data Science, Business Analytics, Information Systems,
Information Technology, Operations Research, Quantitative Methods, Computer Science
or related fields with distinction or first-class from a top university in India is desirable.
- Those who can teach courses in Data Science, Business Analytics, R Programming, Data
Wrangling, Analytics Strategy, Big Data, Machine Learning and Artificial Intelligence
are especially encouraged to apply.
- Proficiency with R is mandatory.
- Comfort with technologies such as Apache Airflow, Apache HBase, Apache Hive, Excel,
Hadoop, Keras, MongoDB, MySQL, PowerBI, PySpark, Python, SAS, Tableau and
TensorFlow will be an added advantage.
- 5-10 years of corporate experience and/or teaching experience in the field of Data
Science/Business Analytics at a leading university or college.
- Highly proficient in spoken and written English.
- Empathetic, ambitious, warm and outgoing personality willing to work closely with
people from diverse cultures.
- Must possess a working laptop and have access to high-speed (>2 MBPS) stable internet
connection.
- Ability to quickly learn and use technology platforms for interacting with students
including host university’s LMS and LINCtrac (training on these platforms will be
provided)
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