DATA SCIENCE INSTRUCTOR
Job Description
As a part time senior data instructor, you will:
Design and Develop FTW’s assessments engine to be able to evaluate students on analytical aptitude and individual skill sets within the data economy
Design and develop Data Science curriculum.
Teach, develop, and support any student, alumni, and team member to help them develop their data science and artificial intelligence skills
Learn and share new methods and techniques in Data Science, Machine Learning, and Artificial Intelligence
Responsibilities
Deliver lectures and tutorials on scientific Python, SQL, probability, statistics (Bayesian and frequentist), machine learning, AI, and data engineering.
Lead day-long courses maintaining a strong presence in the classroom and managing other instructional staff.
Deftly and patiently field student questions and provide feedback in lectures. Minimal office hours remotely delivered.
Utilize student feedback and experimentation to continuously improve teaching and assessment methods.
Evaluate new tools, packages, and tutorials for use in the curriculum.
Skills and Qualifications
Excellent Python skills
Great communication skills
Experience in teaching data science and/or data analytics preferred but not required
Deep understanding of machine learning fundamentals, techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Networks etc.
Knowledge in deep learning (GANs, CNN, LSTM,) preferred but not required.
Experience with common data science toolkits, such as NumPy, pandas, matplotlib, sklearn
Experience with data visualisation tools, such as D3.js, GGplot, etc, Plotly Dash
Proficient in SQL
Good applied statistics skills, such as distributions, statistical testing, regression, etc.
Good scripting and programming skills
Knowledge in AWS infrastructure preferred but not required.
Duration: 8 - 14 Saturdays, Flexible Work Schedule