Data Science Manager - Styling Algorithms

February 14

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Logo of Stitch Fix

Stitch Fix

Stitch Fix is a personal styling service that offers a unique and personalized approach to fashion for women, men, and kids. Clients start by taking a style quiz, which helps Stitch Fix understand their preferences, sizes, and budget. Based on this information, a personal stylist selects five personalized clothing pieces that are shipped directly to the client's door. Customers can choose to keep and purchase any items they like, with the $20 styling fee applicable to kept items. Stitch Fix carries a wide range of sizes and offers free shipping and returns. The service is flexible, with no subscription required, allowing customers to order style boxes on demand or at regular intervals. Stitch Fix also offers a 'Freestyle' shopping option where clients can browse curated suggestions based on their preferences. The company covers a wide variety of styles from numerous brands, ensuring there are options to suit various fashion tastes and needs.

shopping β€’ personal styling β€’ e-commerce β€’ technology β€’ data science

5001 - 10000 employees

Founded 2011

πŸ‘— Fashion

πŸ›’ Retail

πŸ›οΈ eCommerce

πŸ’° $36.9M Venture Round on 2017-11

πŸ“‹ Description

β€’ Shape product strategy β€’ Drive measurable business impact β€’ Lead a team of engineers and data scientists β€’ Develop and optimize styling algorithms β€’ Collaborate with various departments β€’ Oversee algorithm development lifecycle β€’ Implement collaboration and quality best practices β€’ Stay updated with AI and fashion technology trends

🎯 Requirements

β€’ Strong background in machine learning, data science, and algorithm design (5+ years) β€’ At least 2 years in a leadership/management role β€’ Experience with A/B testing and performance metrics β€’ Familiar with cloud-based infrastructure and distributed systems β€’ Excellent communication skills

πŸ–οΈ Benefits

β€’ Competitive salary β€’ Benefits β€’ Equity β€’ Eligible for medical, dental, vision, and other benefits

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