Senior Full-Stack Data Scientist - Client Experience Algorithms (Growth)

About Stitch Fix, Inc.

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

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. Throughout the company's history, the Algorithms Organization has been a key source of our innovation and competitive differentiation.

The Client Experience Algorithms team builds the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. You’ll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing how millions of clients discover what they love.

About The Role

The Growth Algorithms team is responsible for optimizing our end-to-end acquisition and retention programs, from marketing to onboarding to promotions. We leverage our rich engagement and style data to build personalization models that guide each client through their style journey with Stitch Fix over time.

The Growth Algorithms role is primarily focused on improving our owned channel personalization to deepen client engagement with our products. You will own the technical strategy that unifies the client experience across surfaces, architecting and building machine learning models that surface personalized inventory and context-aware action recommendations via email, push notifications, site experiences, and beyond.

You're Excited About This Opportunity Because…

• You will be a primary technical owner of our human-in-the-loop augmented recommendations.
• You will work in a team that embraces both LLMs and traditional ML.
• You will manage experiments to test new features, including communication of results to stakeholders and leadership.
• You will solve problems related to recommendation ranking, hyperparameter optimization, and assortment generation.
• You can leverage a decade's worth of rich and unique data about our clients, our merchandise, and their interactions.
• You will work with our product, product design, and engineering teams to create roadmaps for developing new client products, user features, and infrastructure.

We’re Excited About You Because…

• You have 3+ years of real-world experience in leveraging Data Science to develop customer-oriented solutions with a recent focus on Recommendation Systems and Search
• You understand the nuances of A/B testing and can balance algorithmic metrics with business metrics.
• You are fluent in SQL and have experience handling large-scale datasets.
• You are proficient in building and deploying apps using the Python data ecosystem.
• You have a degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field.
• You have strong communication skills with business partners.
• You are a team player who sees your growth and success intertwined with the growth and success of your peers.
• You are inspired to take on new challenges and do not shy away from failure.

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 an annual bonus, and 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

$123,000—$205,000 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