
5001 - 10000 employees
Founded 2011
👗 Fashion
🛒 Retail
🛍️ eCommerce
💰 $36.9M Venture Round on 2017-11
Fashion • Retail • eCommerce
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.
🕒 May 28
🇺🇸 United States – Remote
💵 $200k - $246k / year
⏰ Full Time
🟠 Senior
📊 Data Scientist
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Founded 2011
👗 Fashion
🛒 Retail
🛍️ eCommerce
💰 $36.9M Venture Round on 2017-11
Fashion • Retail • eCommerce
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.
• Champion bold AI and ML interventions to improve our styling experiences. • Actively shape the product roadmap for direct client-facing styling experiences. • Inspire your team by fostering a culture of ideation, ownership, feedback, and collaboration. • Act as an advocate for Styling and Merchandising teams, empowering partners to understand trends. • Work with product managers, other data science teams, UI/UX designers, and business leaders. • Oversee the end-to-end algorithm development lifecycle, from ideation to deployment. • Identify and implement best practices for team collaboration, code quality, and data management. • Stay up-to-date with advancements in AI-assisted development, AI-enabled product experiences, and fashion technology.
• Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s or PhD preferred. • 5+ years of experience in design and deployment of AI and ML solutions, ideally in retail personalization. • 2+ years of experience as a team technical lead or direct people manager. • Ability to write and review production-grade code, ideally in Python. • Applied knowledge of AI-assisted coding best practices and development of agentic product solutions. • Excels at building trust with your team, stakeholders, and technical partners. • Excellent communication skills with the ability to articulate complex technical concepts to business audiences. • Experience with online A/B testing, experimentation frameworks, and performance metrics. • Familiar with cloud-based infrastructure and distributed data systems.
• Competitive salary • Medical, dental, and vision insurance • Annual bonus eligibility • Grants of restricted stock units • Professional development opportunities
Apply Now🕒 May 28
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