Stitch Fix is hiring a Senior Full-Stack Data Scientist for the Growth Algorithms team (remote, US). The role involves end-to-end ownership of ML work — research through production deployment — using both LLMs and traditional ML to improve client acquisition, retention, and reactivation. Responsibilities include experiment design and analysis, Next Best Action modeling, CRM and paid-media optimization, and collaborating with product, design, and engineering. Requirements include a quantitative degree, 5+ years designing and deploying ML algorithms (preferably in retail personalization/recommendation), production-grade Python development, experience with large-scale distributed datasets, and experimentation/A/B testing expertise.

Stitch Fix is hiring a Director for Product Algorithms to set strategy and lead teams across Growth, Styling, and Fix & Freestyle portfolios. The role requires 10+ years in data science/ML/experimentation (including 5+ years managing managers), experience delivering production ML and personalization capabilities, and strong cross-functional leadership to drive measurable business outcomes. US-remote; listed salary range $225,000–$282,000 USD.

Stitch Fix is hiring an ML Platform Engineer to design, develop, and support scalable, resilient services and frameworks for ML model training and deployment, feature engineering, candidate generation, AI agent deployment, and observability. The role expects 3+ years of software development experience with a focus on data, ML, or AI infrastructure and proficiency with tools such as Python, Golang, Kafka, Postgres, Redis, FastAPI, Ray, AnyScale, LangGraph/LangSmith, and AWS. The position is remote for US-based employees and lists a US salary range of $136,000–$167,000.

Lead the Styling Algorithms team at Stitch Fix to drive ML- and AI-driven personalization (including client-facing features like virtual try-on). Role oversees end-to-end algorithm development, production deployment, experimentation (A/B testing), and cross-functional product work. Requires 5+ years building and deploying AI/ML solutions, 2+ years managing or leading technical teams, and production Python and cloud/distributed systems experience. Salary range for US hires: $200,000–$246,000 USD per year.