Codecademy (a Skillsoft company)
New York, NY
Remote

Data Scientist, Machine Learning

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We are NYC based but remote friendly!

Hello, World! Codecademy has helped tens of millions of learners upgrade their careers, build meaningful projects and gain confidence in their skills with engaging, accessible, and flexible education on programming and data skills. We provide 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. Almost a decade later, we are a rapidly growing, diverse team of about 200 distributed through North America and headquartered in SoHo, NYC. We’ve raised over $87.5m in venture capital funding from top investors including Kleiner Perkins, Naspers, Owl Ventures, Union Square Ventures, 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!

WHAT YOU'LL DO

As a Data Scientist focused on Machine Learning, 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 - we use Redshift. 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)

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

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What are Codecademy (a Skillsoft company) Perks + Benefits

Codecademy (a Skillsoft company) Benefits Overview

In addition to base pay, paid holidays, equity packages, and generous health benefits:

We offer a $50 monthly stipend for use towards gym memberships, fitness classes, meditation, massages.
We offer a subsidy on Citi Bike memberships--don't just work in the city, see the city! Pre-tax commuter benefits.
We offer $1,000 a year towards education and growth to be used towards conferences, certifications, or any other opportunities to learn!
Catered lunch (Tuesday through Thursday in office) and a fully-stocked kitchen
Up to $75/month internet stipend when remote.
GrubHub+ Membership
401k account through Human Interest
OneMedical account for primary care
Codecademy Pro account
Unlimited vacation policy: We encourage (and sometimes demand!) that employees take vacation time to rest and reboot.

Culture
Partners with nonprofits
Open door policy
OKR operational model
Open office floor plan
Flexible work schedule
Remote work program
Diversity
Documented equal pay policy
Mandated unconscious bias training
Diversity employee resource groups
Hiring practices that promote diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Wellness programs
Mental health benefits
Financial & Retirement
401(K)
Company equity
Child Care & Parental Leave Benefits
Generous parental leave
Family medical leave
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Company-sponsored outings
Free daily meals
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Relocation assistance
Fitness stipend
Home-office stipend for remote employees
Professional Development Benefits
Job training & conferences
Lunch and learns
Promote from within
Mentorship program
Continuing education stipend
Online course subscriptions available

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