Overview

We’re hiring Data Scientists and Analysts to elevate Glossier as an inviting, fun way to buy beauty products. You’ll join a team focused on building a delightful e-commerce and in-store experience, and fostering the most welcoming community to discuss skin care and makeup.
 
At Glossier, we partner with other business stakeholders (Digital Product, Tech, Marketing, Logistics) to ensure data quality, drive business efficiency, and formulate strategic questions. As a data team, we rely on each other to ensure that we deliver reliable models and actionable analyses — this means lots of code review and constructive feedback. We are also mindful of building an inclusive culture, where decisions are made transparently and we support each other's learning and growth.
 
Our technology stack
  • Ruby on Rails for the backend
  • GraphQL for our API
  • React, Redux, Webpack, and Apollo on the frontend
  • AWS to host our infrastructure
  • Postgres, Redis, and Redshift
  • Swift for our point-of-sale application

Our data stack

  • Python or R
  • Luigi for ETLs
  • GraphQL for our APIs
  • AWS to host our infrastructure
  • Postgres, Redis, and Redshift
  • Segment
  • Looker
  • Data visualization: R ggplot2/Shiny, D3.js

In this role, during your first month you'll:

  • Connect with an onboarding buddy, who’ll help you settle in by introducing you to team members throughout Glossier.
  • Contribute to the Data Warehouse either by editing an existing ETL or developing a new ETL using data from the production database.
  • Get connected with several business stakeholders and begin to foster relationships to specialize in a particular domain.

During your first three months you'll:

  • Work with your stakeholders to develop research priorities.
  • Design a machine learning model to influence decision making within the business, better enabling teams to achieve their strategic priorities.
  • Help to design, run, and measure an experiment. Socialize findings to the broader business.
  • Look for opportunities to improve the experience of working at Glossier. We're always interested in trying techniques that build communication and trust in the team.
  • Set personal development goals with your manager, using our publicly available Engineering ladder as a guide (the Data team ladder is coming soon).

During your year you'll:

  • Be the go-to data expert for your domain. Speak to your stakeholders in their own language, but be able to elucidate relevant research findings to the broader company.
  • Develop a strong, concentrated understanding of the data pipeline.
  • Be a flag-bearer of our diverse and inclusive culture.
  • Give regular presentations that expose the team to how we think about and innovate with data at Glossier; we hold internal talks for the Technology team every two weeks.
  • Contribute to Glossier's presence in the technology community through speaking engagements, industry meet-ups, or writing articles for our Into The Tech blog.

You

  • Have a willing attitude and an enthusiasm to solve difficult, ambiguous problems.
  • Respect documentation, code review, and reproducibility.
  • Have a reputation for being inclusive, innovative, clever, fun, and thoughtful. :)
  • Are motivated by working in a fast-growing, dynamic, and iterative environment.

About your application and the interview process

Glossier is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
If you’re unsure about your qualifications for this position, we still encourage you to apply. We’re looking for data scientists and analysts who have experience, but know that not everyone’s had a chance to use the technologies in our stack. What’s most important is that you have a growth mindset, and know how to manage data and talk about it.
 
Our interview process typically involves a phone screen with the hiring manager, followed by a technical exam to evaluate your technical and analytical skills. After that, we’ll invite you to our offices for an on-site interview on a range of technical and interpersonal topics.
 
About Glossier 
 
Glossier is a beauty brand inspired by what girls want in real life. By embodying the intersection of creativity and technology, Glossier is in constant conversation with its community.
 
Glossier’s Technology team works from our NYC and Montreal offices. We’re sold on the Internet, and have retail stores in NYC and L.A. Glossier ships to the US, Puerto, Rico, Canada, and UK, and thinks you look nice today.

 

 

We are an Equal Employment Opportunity (“EEO”) Employer. It has been and will continue to be a fundamental policy of Glossier not to discriminate on the basis of race, color, creed, religion, gender, gender identity, pregnancy, marital status, partnership status, domestic violence victim status, sexual orientation, age, national origin, alienage or citizenship status, veteran or military status, disability, medical condition, genetic information, caregiver status, unemployment status or any other characteristic prohibited by federal, state and/or local laws. This policy applies to all aspects of employment, including hiring, promotion, demotion, compensation, training, working conditions, transfer, job assignment, benefits, layoff, and termination.

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