[Hiring] Principal Full-Stack Data Scientist @Stitch Fix

Role Description

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Foundational Models team builds and evolves the machine learning systems that power personalization and recommendations across Stitch Fix. The team owns foundational capabilities—including client and item representations, recommendation and retrieval systems, and core models such as the Client Time Series Model (CTSM)—that are leveraged across multiple client experiences and downstream applications. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work. As a Senior Full-Stack Data Scientist, you will work across the full machine learning lifecycle:

• Identifying opportunities
• Developing and evaluating new modeling approaches
• Running large-scale experiments
• Deploying and operating models in production

You will tackle technically challenging problems in personalization and recommendation systems, working with large-scale behavioral, transactional, textual, and visual data. This is a highly collaborative and hands-on role. You will partner with Data Scientists, ML Engineers, Product, and other technical teams to translate research and emerging ML techniques into reliable systems that create measurable client and business impact.

Qualifications

• Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master’s Degree or PhD preferred.
• 8+ years of experience in design and deployment of machine learning solutions, ideally in personalization, such as recommendation systems, representation learning, or search.
• Strong ability to architect technical solutions and write production-grade code in Python.
• Ability to independently drive ambiguous machine learning problems from initial exploration and prototyping through production deployment, monitoring, iteration, and measurable impact.
• Experience working with large-scale datasets using SQL and distributed data-processing technologies such as Spark.
• Experience with modern deep-learning frameworks such as PyTorch or TensorFlow.
• Strong understanding of model evaluation and experimentation, including offline evaluation, A/B testing, and translating model improvements into measurable product or business outcomes.
• Ability to reason about the tradeoffs involved in production ML systems, including model quality, latency, scalability, reliability, and computational cost.
• Strong communication and collaboration skills, with the ability to influence technical decisions and communicate complex concepts effectively to both technical and non-technical stakeholders.
• Intellectual curiosity and a demonstrated ability to learn and apply new machine learning techniques to practical problems.

Benefits

• Comprehensive compensation packages
• Inclusive health and wellness benefits
• Competitive salary
• Annual bonus eligibility
• Restricted stock units based on performance
• Medical, dental, and vision benefits

Company Description

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.