AddressThe Institute of Data is a Professional Network of Data Scientists, Cyber Security Analysts, Digital Marketers and Software Engineers. In partnership with leading universities in Australia, New Zealand & America, and the government of Singapore, we transform careers for a data-driven world through practical, industry-focused courses.
About the role
We are seeking a Lead Trainer to lead this transformative experience for our students. We offer courses outside of business hours in conjunction with University of Technology Sydney.
The next opportunity is:
Fully remote classroom from 17 June to 12 July on Mondays through Fridays 9am-1pm AEST.
More opportunities later this year both inside and outside business hours.
The content is provided and covers mathematics, statistics, programming, data analysis, machine learning and AI techniques, and how they are applied to businesses and government organisations. Assessment is in the form of labs and project work. Students graduating from the course are well-equipped to take on junior data analyst roles.
- Deliver curriculum and support students to enter the industry
- Provide students with meaningful and prompt feedback on their progress
- Guide students through the development of real-world projects that will showcase their abilities to hiring managers
- Facilitate a dynamic and collaborative classroom community
- Inspire students to persevere through the challenges of learning complex subjects.
- Work with and guide Assistant Trainer to provide support to students.
- Bachelor in Computer Science, Science, Mathematics or related degree
- Minimum 5 years of professional Data Science experience.
- Expert in SQL, Python, and related Python libraries (Pandas, NumPy).
- Domain expertise in statistics, mathematics, and probability.
- Ability to build and apply statistical models in python using machine learning libraries, such as scikit-learn and stats models.
- Deep understanding of statistical hypothesis testing and experimental design, data visualisation techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.
- Demonstrate and explain the function of machine learning algorithms such as regularised regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.
- Excellent verbal communication with the ability to express technical material in an accessible way
- Desire to help others learn and grow and comfortable in a classroom environment.
- Contract opportunities inside and outside of business hours
- Work in a fun supportive virtual or in-person environment
- Make a life-changing impact by doing what you know and love
- Speaking opportunities at industry events
