Content Contributor: Data Science

Remote from: Canada 🇨🇦, USA 🇺🇸
Category: Copywriting & Content
Job type: Full Time,
Opening date: 29 Jul 2022
Closing date: 27 Sep 2022
Views: 250

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About Codecademy

Connecting millions of learners to economic opportunity.

E-learning
2011

Actively Hiring

5.0 Rated

We are NYC based, but remote friendly unless specified. (US & Canada based candidates only)

Hello, World! Codecademy is on a mission to build inspiring careers in technology through engaging, accessible, and interactive online coding education.

Our learners have gone on to start new jobs, launch new companies, and lead new lives thanks to their work with Codecademy, and our platform has transformed the way businesses develop and retain their teams.

Since 2011, our team has grown to over 200 employees serving 50+ million learners from 190+ countries. We’ve raised over $82M in venture capital funding from top investors including Prosus, Owl Ventures, Union Square Ventures, Y Combinator, and more–which gives us the capital to get stuff done in an impactful way.

Join us to help build a business that empowers tens of millions of people to lead better lives!

**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: CA, FL, GA, ID, IL, MD, MA, MI, NJ, NY, OH, OR, PA, TN, TX, VA and WA.**

Codecademy is looking for a knowledgeable programmer or instructor to help develop Python courses with Jupyter Notebooks. The Catalog Content Contributor works directly with the Codecademy Curriculum team to author interactive lessons, quizzes, and projects to help turn a high-level syllabus into reality. This is a paid, remote, part-time position, with a typical commitment of ~10-30 hours of work per week.

WHAT YOU’LL DO

Design and author interactive lessons, quizzes, and projects.
Think pedagogically to break down technical concepts into digestible exercises
Collaborate with Codecademy’s Curriculum team to craft learning outcomes and build a compelling learner experience.

WHAT YOU’LL NEED

Knowledge of Jupyter Notebooks and Python
Fluency and experience in Data Science, including data cleaning, analysis, visualization
Familiarity with foundational machine learning algorithms such as linear regression
Familiarity with data concepts such as sampling and distributions
Fluency with and experience writing Python code, including using a variety of Python frameworks such as pandas, Matplotlib, and Scikit-learn.
A strong command of written and spoken English

WHAT WILL MAKE YOU STAND OUT

Professional experience with technical or academic writing, particularly in a digital format
Experience using the Codecademy platform
Professional experience as a Data Scientist or Data Analyst