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Adjunct Faculty - Data Science (Singapore)

icon building Company : Educlaas
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Job Description - Adjunct Faculty - Data Science (Singapore)

 

About CLaaS2SaaS

CLaaS2SaaS is a
Singapore -headquartered Pan -ASEAN AI Acceleration Platform committed to
advancing inclusive digital economy transformation across Southeast Asia. With
a growing presence across Singapore, Malaysia, Indonesia, Philippines, Vietnam,
Cambodia, Myanmar, Sri Lanka, India, and China, we work closely with higher
education institutions, enterprises, SMEs, and governments to accelerate
workforce and digital transformation in the AI era.

Driven by a Skills -First,
Work -Integrated Learning innovation, CLaaS2SaaS combines work -integrated
learning with AI -powered adaptive technologies to develop industry -ready
digital talent and support lifelong career growth. Our innovative learning
ecosystem enables faster and more effective workforce transformation,
empowering individuals with practical skills, real -world industry experience,
and meaningful career outcomes.

At the same time, we
support enterprises in adopting intelligent digital solutions and scalable
AI -enabled services that enhance productivity, workforce capabilities, and
operational efficiency. By connecting education, industry, and technology
within a unified ecosystem, CLaaS2SaaS is building a more connected, agile, and
AI -powered ASEAN economy for the future.



Job
Objective

·       Support blended learning journey for
our learners to achieve superior learning experience and successful skills outcome.

·       Be a subject matter expert and
mentor students throughout their learning journey

·       Learning
Delivery and Operations Management – Execute eduCLaaS’ courses in accordance
with its well -defined learning delivery, learning operations and learning
technology policies and procedures in order to achieve best results in learner
satisfaction.
 
·       Financial
Management – Responsible to execute the various cohorts/programmes with time,
budget and P&L. Leverage the use of data analytics to analyse the
profitability of the programmes.
 


Requirements

Technical
Skills and Competencies

·       Extensive experience in Programme
Management

·       Well versed in Education/University
frameworks
 
·       Good skills in Financial and Risk
Management

·       Good understanding of Educational
Technology and its implementation.
 

 

Requirements

·       Bachelor’s degree is required.
·       Proven experience as a facilitator,
speaker, or coach.

·       5+ years of experience in data
science and machine learning

·       Strong communicator.
·       Great empathy skills.
·       Assess the training needs of
learners and adjust your delivery accordingly.

·       Working knowledge of the following:

o   Sound
foundation and advanced level understanding of R Programming, SQL, Python,
Machine Learning, AI, Spark, Statistics

o   Python
base packages as Numpy, Pandas, Scikit learn, Seaborn & MatplotLib

o   Experience
using business intelligence tools (e.g. Tableau,PowerBI) and data frameworks
(e.g. Hadoop, Spark)

o   Azure
Machine Learning knowledge especially with data and ML stack is a plus

o   High
proficiency with standard database skills (e.g., SQL), data preparation,
cleaning, and wrangling/munging.

·       Good to have

o   Microsoft
Power BI certification

o   Microsoft
Machine Learning certification

Desirable
Traits

o   Possess good English competency
level (because the class is conducted in English)

o   Nurturing, committed, hardworking,
proactive, accountable, driven

o   Good interpersonal, communication
and organizational skills

 



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