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Active1mo ago

Director, Data Science & Algorithms - CX Product Experiences

Stitch Fix·📍 Remote

Employment

FULL TIME

Work mode

Remote

Experience

10+ years

Salary

From $225K/yr

Role overview

Job description

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role The Client Experience Product Algorithms team is responsible for the machine learning, AI, experimentation, and product analytics capabilities that power personalized experiences for Stitch Fix clients and stylists. Partnering across Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN, the team translates data and algorithms into measurable business impact.

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What they are looking for

Skills & requirements

Qualification

Requirements Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Mathematics, or a related quantitative field; advanced degree preferred; 10+ years of experience in data science, machine learning, experimentation, product analytics, AI, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders; Nice to Have Advanced degree (MS or PhD) in Computer Science, Machine Learning, Statistics, Operations Research, Engineering, or a related field

Department · Algorithms

SF

Hiring company

Stitch Fix

At Stitch Fix, our mission is to help people discover the styles they will love that fit perfectly so they always look and feel their best. To deliver on our mission, we foster a culture that is client-obsessed, where we dream big together and act boldly to redefine what's possible in personalized shopping. We're fixing the way people shop for what they love - and we need your big ideas. If you work with heart, hustle and a high bar, we just might be the perfect fit.

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