Degree in Computer Engineering
Python Programming, SQL, AWS, GoLang, Docker, Linux Operating system
The Algorithms Platform team builds the tools that make deep integration of data science into all areas of our business possible. We are responsible for designing the technical systems that shape and guide how data scientists impact our strategy, operations, and decision making. Because Data Scientists at Stitch Fix are encouraged (and expected!) to rapidly explore ideas and hypotheses, they need to have tools that encourage creativity and support rigorous analysis.
We are looking for a Software Engineer with interest and experience building computational and data handling services and systems for data scientists. You must be interested in designing and building APIs, services, and tools that are logical, elegant, and extensible. You should be excited about fostering best practices for users of the artifacts you create, and enjoy the challenge of trying to discover and invent new, better ways of using data science tools even before the scientists ask for them.
IN TERMS OF SOFTWARE ENGINEERING PHILOSOPHY, SUCCESSFUL TEAM MEMBERS WILL BE EXCITED TO:
SPECIFIC TECHNICAL EXPERIENCE THAT WOULD BE USEFUL TO SOMEONE IN THIS ROLE INCLUDE:
WHY YOU'LL LOVE WORKING AT STITCH FIX...
ABOUT STITCH FIX
At Stitch Fix, we’re about personal styling for everybody and we believe in both a service and a workplace where you can be your best, most authentic self. We’re the first fashion retailer to combine technology and data science with the human instinct of a Stylist to deliver a deeply personalized shopping experience. This novel juxtaposition attracts a highly diverse group of talented people who are both thinkers and doers. All of this results in a simple, powerful offering to our customers and a successful, growing business serving millions of men, women, and kids. We believe we are only scratching the surface on our opportunity, and we’re looking for incredible people like you to help us carry on that trend.
Stitch Fix is an online personal styling service in the United States and United Kingdom. It uses recommendation algorithms and data science to personalize clothing items based on size, budget and style. The company was founded in 2011 and had an initial public offering in 2017 with a valuation of $1.6 billion.