Home Online Data Analytics & Visualization Instructor with edX Bootcamps (Remote)

Home Online Data Analytics & Visualization Instructor with edX Bootcamps (Remote)

Data Analytics & Visualization Instructor with edX Bootcamps (Remote)

Full time at edX Boot Camps in Online
Posted on May 3, 2024

Job details

The Job: 2U is seeking a Data Science professional who has a passion for making a difference. Our students have a diverse background, from working professionals to recent college graduates who seek to transition into careers in Big Data. Instructors will have a direct hand in changing the lives of our students. This is a fully remote, part-time position that would service either Sydney or Monash University in Australia. Why teach with us? Instructors, with the help of Teaching Assistants; lead classroom discussions, emphasize the meta-skills and core concepts, support students in their projects and challenges, and provide feedback to students. You don't have to have a ton of experience with teaching! You just have to be a lifelong learner, proven teacher or mentor, or love to help people change their lives to succeed. What You Will Do:

  • Lead online lectures following a detailed lesson plan that includes an active discussion environment and project-based learning
  • Bring the learning experience to life by building community and enhancing relevance by drawing on your own industry experience
  • Translate complex subject matter in a clear and concise manner for a diverse range of learners or skill levels
  • Provide support and encouragement to students as they go through a life-changing experience
  • Create an engaging, positive, and inclusive learning environment for our students
  • Increase participant engagement using different facilitation tactics
  • Guide large and small groups of learners in an empathetic manner
  • Amplify student satisfaction by creating a positive classroom culture
  • Communicating timely with students and leveraging effective interventions by sharing resources
Skills & Requirements:
  • Bachelor's Degree Preferred
  • Minimum of 5 years of work experience in Data Science
  • Completion of background check with satisfactory results, determined at edX’s discretion, is required
  • Must have a laptop, camera, at least one additional monitor, microphone / headset, and reliable internet access.
  • UPS device is required
  • A positive attitude
  • Ability to deliver lesson plans provided by 2 U
  • Share your own professional experiences and industry insight with the students
  • Be able to infuse empathy, support, encouragement, and fun into the student experience
Proficiency in the following is required:
  • Python Programming - Python, NumPy, Pandas, Matplotlib
  • Databases - MySQL and MongoDB
  • Business Intelligence Software - Tableau
  • Advanced Topics - Big Data Analytics with Hadoop, and Machine Learning
Preferred but not required:
  • Front End Web Visualization - HTML, CSS, Bootstrap, JavaScript Charting, and D3.js
Logistics:
  • 24-week program (this is a part-time commitment)
  • Class Schedule: M/T/TH
  • Class Times: 10:00am - 2:15pm SAST (includes office hours and break)
  • Classes are taught live online
Perks:
  • Maintain your current career while teaching
  • Hone your skills by teaching and mentoring others
  • Expand your network by joining the thousands of industry professionals who make up our instructional staff
  • Experience the gratitude and fulfillment that comes along with teaching and giving back to the tech community
We are required by law to verify your ability to work lawfully in South Africa Hourly salary only: In South Africa, the anticipated hourly salary for this role is R290/hr. The final compensation for this position may consider factors including the geographic location where the work is performed (candidate’s assigned office) and prior work experience of the candidate. #J-18808-Ljbffr

Apply safely

To stay safe in your job search, information on common scams and to get free expert advice, we recommend that you visit SAFERjobs, a non-profit, joint industry and law enforcement organization working to combat job scams.

Share this job
See All Data Jobs
Feedback Feedback