Data Scientist
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!
WHAT YOU'LL DO
As a Data Scientist, you will work on an impactful team to analyze our millions of learners. We capture terabytes of data on how users engage with our platform. As Codecademy continues our rapid growth, we want to build a data-informed culture that uses hypothesis testing, experimentation, and exploratory analysis to guide our decision-making process.
You will join a small but growing team of Data Scientists. Our work is in high-demand from all corners of Codecademy. We work on a variety of problems and have a real impact on the business and product. If you have a proven background in data and you are excited about making code education accessible, we want to hear from you!
- Apply exploratory data analysis and causal inference to answer complex questions about our users.
- Collaborate across teams to help scope out analyses, through a combination of experimentation (A/B testing) and quantitative user research.
- Design experiments and evaluate results to test and iterate on new product ideas.
- Perform deep dives into our data to build understanding around our business.
- Work with our data science and engineering teams to maintain data integrity.
- Mentor and consult with a cross-functional team of data scientists, engineers, and product managers.
WHAT YOU'LL NEED
- 3+ years of industry experience in a data science, analytics, or research role, with 1+ years of Machine Learning experience. You have strong data intuition and knowledge of using data science best practices to drive impact.
- Expert SQL. Able to write clean and efficient queries on massive datasets.
- Applied experience with statistical programming languages - R or Python preferred.
- Familiarity with multiple Machine Learning Frameworks
- Experience working with different algorithms (regressions, gradient boosting, random forest)
- Understanding of statistical methods and when to use them (hypothesis testing, experiment design, sampling).
- Strong written and verbal communicator. Comfortable working with loosely defined research problems.
WHAT WILL MAKE YOU STAND OUT
- Background in Advanced Machine Learning/Deep Learning.
- Knowledge of Scala and dbt.
- A workflow involving reproducible methods and version control - Github, Docker.
- Experience automating dashboards with business intelligence tools - Looker, Tableau.
- Passionate about teaching the world to code. Empathy for our learners, such as a background in education or past experience using our site.
Interesting questions you might work on
- How can we estimate learning based on a user's journey?
- What are some different types of patterns in user behavior (i.e. predict churn, retention, LTV)?
- What do we do when we are unable to conduct an experiment?
- How do we improve the relevance of our course recommendations?
- How can we scale our existing processes? (experiment reporting framework, forecasting)
Equal Employment Opportunity
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.
#LI-Remote