Remote: Senior Full-Stack Data Scientist, Foundational Models

Stitch Fix Inc.; San Francisco (CA); Remote; USD 200,000 - 237,000; Full time

Job summary

Stitch Fix Inc. seeks a Principal Full-Stack Data Scientist to lead the Foundational Models team in building and evolving ML systems powering personalized recommendations. You will own the full ML lifecycle from problem framing to production deployment, working across data scientists, ML engineers, and product teams.

This remote US role emphasizes scalable, production-grade solutions, collaboration and measurable client impact. Join a forward-thinking company redefining personalized shopping.

Qualifications

• Bachelor’s Degree in a quantitative field; Master’s Degree or PhD preferred.
• 8+ years of experience designing and deploying machine learning solutions, ideally in personalization such as recommendation systems.
• Strong ability to architect technical solutions and write production-grade code in Python.
• Experience with large-scale datasets using SQL and distributed data-processing technologies such as Spark.

Responsibilities

• Design, develop, evaluate, and productionize ML models that improve personalization and recommendation systems.
• Advance foundational modeling capabilities including client/item representations, embeddings, retrieval and ranking models.
• Explore and apply LLMs and ML techniques to improve systems.
• Own the full ML lifecycle from problem framing to deployment and monitoring.

Skills

Python

SQL

Spark

PyTorch

TensorFlow

A/B testing

Model evaluation

Communication

Education

Bachelor’s degree in a quantitative field

Master’s degree or PhD preferred

Tools

Spark

Job description

Stitch Fix Inc. seeks a Principal Full-Stack Data Scientist to lead the Foundational Models team in building and evolving ML systems powering personalized recommendations. You will own the full ML lifecycle from problem framing to production deployment, working across data scientists, ML engineers, and product teams.

This remote US role emphasizes scalable, production-grade solutions, collaboration and measurable client impact. Join a forward-thinking company redefining personalized shopping.