Stitch Fix (NASDAQ: SFIX) is the leading online personal styling service that helps people discover the styles they will love that fit perfectly so they always look - and feel - their best. Few things are more personal than getting dressed, but finding clothing that fits and looks great can be a challenge. Stitch Fix solves that problem. By pairing expert stylists with best-in-class AI and recommendation algorithms, the company leverages its assortment of exclusive and national brands to meet each client's individual tastes and needs, making it convenient for clients to express their personal style without having to spend hours in stores or sifting through endless choices online. Stitch Fix, which was founded in 2011, is headquartered in San Francisco.

About The Team

At Stitch Fix, we are at the forefront of innovation, creating cutting-edge solutions that blend fashion, technology, and data science. Our data science team combines machine learning with expert human judgment to generate innovative recommendations and insights that transform the way our clients discover what they love. We believe in a curiosity-driven data science culture where members are empowered to deliver impact through end-to-end model development. The diversity of the problems that we work on and the data-rich environment of our business make it possible, even essential, to bring the tools of multiple disciplines to bear on our hardest problems.

The Recommendation Algos team leverages personalization algorithms to power the Fix experience, which involves a combination of modeling style, diversity, long-term client behavior, and expanding Stitch Fix’s total addressable market. In doing so, this team builds assortments that delight our clients while at the same time explore a client’s stylistic preferences and drive client engagement.

About The Role

In this role, you will contribute to building the future of personalized apparel shopping by thoughtfully combining algorithms with product innovation. A key area of focus is the continued improvement of the quality of recommended assortments along various dimensions, including seasonality, diversity, and freshness. A secondary area is the ability to deliver high-quality recommendations in real time to engage and delight new clients and therefore expand our total addressable market.

This role has a tremendous and direct impact on the business’ bottom line and provides a unique opportunity to work cross-functionally across Strategy, Product, Merchandising, Styling, Marketing, and Engineering stakeholders.

You're Excited About This Opportunity Because You Will…

Support and execute the strategic vision of recommendation approaches for both algorithmically-generated assortments as well as human-in-the-loop augmented recommendations
Manage experiments to test new features, including any communication of the experiments’ results to stakeholders, and support the eventual launch of the feature
Solve problems related to recommendation ranking and assortment generation. Modeling tools could include deep learning, weighted re-ranking, genAI, or any other state of the art technique.
Productionize models and systems partnering with our data platform team for real-time applications
Leverage unique data about our clients, our merchandise, and their interactions to identify and solve client needs
Work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, data flywheels, and infrastructure

We’re Excited About You Because…

You have a solid understanding in modeling and experimentation
You have led end-to-end machine learning and data projects, from inception to production and are proficient in deploying apps in Python
You have a degree in a quantitative field such as Computer Science, Statistics, Physics or a related field.
You have strong cross-functional, communication skills that help simplify and move complex problems forward with business partners
You are a compassionate team player and you see your growth and success entangled with the growth and success of your peers
You are innovative and inspired to take on new challenges and you do not shy away from potential failure
You think about ethics in AI, the impact of machine learning on society, and want to bring that to bear in our work here

Why you'll love working at Stitch Fix...

We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
We cultivate a community of diverse perspectives— all voices are heard and valued.
We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail.
We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
We boldly create the future while keeping equity and sustainability at the center of all that we do.
We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
We offer comprehensive compensation packages and inclusive health and wellness benefits.

Compensation And Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$153,700—$226,000 USD

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Recruiting Fraud Alert:

To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at https://www.stitchfix.com/careers/jobs or https://web.fountain.com/c/stitch-fix.

Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com.

You can read more about Recruiting Scam Awareness on our FAQ page here: https://support.stitchfix.com/hc/en-us/articles/1500007169402-Recruiting-Scam-Awareness