Sep 23, 2019

Lead Data Science & AI Instructor (Part-time)

  • Data Science Institute of Australia
  • Melbourne VIC, Australia
Part time Data Analytics Data Science Big Data Engineer Consulting Cloud Management

Job Description

Our Data Science & AI Part Time course is a life-changing educational experience where students leave with the skills and mindset to take on new careers in a wide variety of Data Science & AI roles. Our students are passionate about data science, often career changers who are working full time in a similar or unrelated field.

We are looking for instructors to lead this transformative experience through Data Science Institute of Australia's Data Science & AI Part Time course.


Why be an instructor of the Data Science & AI Part-Time course?

If you are looking to make a life-changing impact by doing what you know and love, this is the position for you. Through this unparalleled opportunity, you will:

  • Deepen your own skills by guiding students through a rigorous journey where they begin as driven beginners and leave as empowered data analysts and scientists.
  • Contribute your own expertise to a deep and broad curriculum
  • Facilitate a supportive and energetic community that lasts well beyond the course.
  • Hone your own leadership skills by working with an instructional team and classroom community.

As a member of the instructional team, you will not only impact the careers of your own students who are mostly changing careers, but you’ll also have a unique opportunity to shape the potential of students through contributions to Data Science Institute of Australia's community.


Skills and Qualifications

Must Have:

  • You have at least 3 years of professional data science experience.
  • You are an expert in SQL, Python, and related Python libraries (pandas, numpy).
  • You have domain expertise in statistics, mathematics, and probability.
  • You can build and apply statistical models in python using machine learning libraries, such as scikit-learn and statsmodels.
  • You have a deep understanding of statistical hypothesis testing and experimental design, data visualization techniques and tools (i.e. matplotlib, bokeh, etc), and manipulation of large data sets.
  • You can demonstrate and explain the function of machine learning algorithms such as regularized regression, naive bayes, decision trees, ensemble methods, KNN, K-means clustering, and neural networks.
  • You are the person your colleagues naturally gravitate to when they are trying to figure something out.
  • You are eager to shape the skills, minds, and trajectories of the newest generation of data scientists.

Nice to have:

  • You have proficiency with NLP python libraries such as NLTK; Hadoop or Apache Spark; D3.js or R.
  • You are on top of industry trends in big data, machine learning, deep learning, and AI.
  • You have previous data science or engineering teaching experience, through a course, workshop, team training, etc.
  • Relevant data professional certification.


Responsibilities and Duties

  • Plan and implement a part-time curriculum.
  • Deliver instruction up to 15 hours per week, including teaching, advising, and content development.
  • Work closely with your instructional team to provide students with meaningful and prompt feedback on their progress.
  • Collaborate alongside BCD staff in order to best meet the needs and learning styles of your students.
  • 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.
  • Contribute to the material and direction of an expanding global curriculum, ensuring the course remains cutting-edge and effective for students.


About DSIA

The Data Science Institute of Australia (DSIA) is an industry body focused on education and certification for Data Scientists and Advanced Analytics professionals in Australia. The DSIA education programs specialise in practice-focused data science and artificial intelligence education and career transitions for professionals.