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Data Science/Data Analytics Instructional Associate (part time)

General Assembly logo

Job details

location-pin Toronto, Ontario, Canada
location-tag 1425557

 

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 40,000 full- and part-time alumni — and counting.

In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our corporate training programs. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

We are looking for part-time instructors:

Our Data Science program is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as web developers. We are looking for Instructors with strong Python experience to play a key role at our Toronto Campus. The instructors will help with the Data Science program with the ability to teach in the part-time, evening data analytics program as well as our free info sessions.

Why teach with General Assembly?

If you are looking to make an impact by sharing your love for data science & analytics with the next generation, we’d love for you to consider joining our team. As an instructional associate, you will have the opportunity to shape the vision and delivery of the course materials in our full-time Data Science program, our part-time Data Analytics program and how we introduce data to those considering re-skilling or up-skilling.

We deliver more than just skills training, and are looking for teachers who share our vision for a community of lifelong learners pursuing work that they love. As an instructional associate, you will work with our instructional and marketing team to:

  • Work closely with one or more Lead Instructors to guide students through their course
  • Become a better teacher, leader, and mentor as you learn from veteran instructors and our world-class instructional coaches.
  • Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum.
  • Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
  • Facilitate a safe, supportive, and energetic community that welcomes the various needs and learning styles of your students.
  • Help teach free introduction workshops for prospective students to learn more about the full-time and part-time data products we offer

What do we teach?

We adapt both our global curriculum and local approach to the technical trends and hiring environment of the times and cities we work in, but for our online program our primary educational approach centers around Python and SQL. In general, our curriculum is scaffolded to follow the historical evolution of data science. The Data Science course will primarily focus on Python and SQL, and students will have the opportunity to learn about R and Machine learning. The part-time Data Analytics course is heavy on Excel, SQL and Tableau. We also cover all sorts of other things that junior data scientists need to know, like source control, team collaboration, and developer workflow.

We give students the chance to spend focused time building at least 4 major projects, in addition to other smaller projects and labs. About 20% of overall class time is spent on dedicated project work.

Required Skills and Qualifications

  • You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
  • You are eager to shape the skills, minds, and careers of the newest generation of data scientists.
  • You are eager to teach in an online environment
  • You have working experience in both front-end and back-end development, and are fluent in:
    • You are very strong 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 stats models.
    • 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 haves:

  • 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.

 

Role & Responsibilities

  • Ensure that students meet graduation requirements
  • Meet consistently with a designated group of students in your cohort to chart their progress and provide ongoing support
  • Responsible for the growth and development of a cohort of students within the class
  • Foster a collaborative, community-minded learning environment
  • Ongoing student communication around course progress
  • Homework support and grading feedback
  • Assist with lesson planning and creation




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