• Locations
    • Remote
    • New York
  • Date Posted
  • Jul. 5, 2021
  • Function
  • Professional Services

At this time, we can only accept applicants that are over the age of 18 and are currently located in one of the following states: AZ, CA, CO, CT, DE, FL, GA, IL, IN, MA, MD, ME, MI, NJ, NY, OH, OR, PA, TN, TX, UT, VA, VT, WA, and WI.

Hello, World! Codecademy has helped over 45 million people from around the world upgrade their careers with engaging, accessible, and flexible education on programming and data skills. We provide over 200 hands-on interactive lessons ranging from Python to R to Javascript and everything in between. Our learners have gone on to start companies, new jobs, and new lives thanks to what they’ve learned with Codecademy, and we’re thrilled to be working to take that impact to the next level.

Codecademy was started in 2011 by two college students in a dorm room at Columbia that were frustrated by the huge gap between education and employment. A few years later, we are a rapidly growing, diverse team of 100+ in SoHo, NYC. We’ve raised over $40m in venture capital funding from top investors including Union Square Ventures, Kleiner Perkins, Naspers, Y Combinator, and more.

If you want to help build a business that impacts tens of millions of people each year and helps them lead better lives, join us!

Codecademy is looking for an expert programmer or academic to provide guidance as we build our newest skill path, Learn Causal Inference, which we’ll teach using Python. The Subject Matter Expert provides the Codecademy Curriculum team with specialized, up-to-date, nuanced insight into how causal inference is used and how it should be taught. This is a paid, remote, contract position, with a typical commitment of 1-5 hours per week.

What You’ll Do

  • Work with a Curriculum Developer to create and refine a high-level syllabus for Learn Causal Inference
  • Review the lessons, quizzes, and projects that other members of the Curriculum team create as we turn that syllabus into reality
  • Provide complex technical and pedagogical insights in such a way that other team members—and, ultimately, Codecademy learners—can understand

What You’ll Need

  • 5+ years of experience as a professional programmer or educator
  • Extensive knowledge of and real-world experience with causal inference
  • The ability to provide clear, actionable, and empathetic feedback and explanation
  • A strong command of written and spoken English
  • What Will Make You Stand Out
  • 10+ years of experience
  • Experience in both programming and education
  • Experience teaching causal inference specifically
  • Experience in online education at scale
  • Experience using the Codecademy platform

Equal Employment Opportunity

Codecademy is committed to providing equal employment opportunities to all employees and applicants regardless of race, color, religion, creed, age, national origin or ancestry, ethnicity, sex, sexual orientation, gender identity or expression, disability, military or veteran status, or any other category protected by federal, state, or local law. As an equal opportunities employer, we recognize that diversity is a positive attribute and we welcome the differences and benefits that a diverse culture brings.

This is a contract, remote position. You can expect a typical commitment of 1-5 hours of work per week, with the freedom to work wherever and at whatever times you want. You will be compensated (paid) bi-weekly.

At this time, we can only accept applicants that are over the age of 18 and are currently located in one of the following states: AZ, CA, CO, CT, DE, FL, GA, IL, IN, MA, MD, ME, MI, NJ, NY, OH, OR, PA, TN, TX, UT, VA, VT, WA, and WI.

At Codecademy, we are committed to teaching people the skills they need to upgrade their careers. Codecademy aims to educate a richly diverse demographic of learners with our product and in order to accomplish this, we believe our team should reflect that rich diversity. Our company celebrates diversity in all of its forms-- race, gender, color, national origin, marital status, sexuality, religion, veteran status, age, ability, disability status-- and works to create an inclusive workplace where people of all backgrounds and beliefs are empowered to better their futures.