Senior Growth Data Scientist – Personalization ML/LLM

stitchfix; United States; Remote; USD 180,000 - 205,000; Full time

Benefits offered by this job

Annual bonus

Equity grants

Comprehensive medical, dental, vision

Job summary

Stitch Fix is seeking a senior individual contributor on a growth algorithms team that blends machine learning, experimentation, and large-scale data to shape client acquisition, retention, and reactivation programs.

You will design experiments, build Next Best Action models, and apply both traditional ML and LLM-based methods while collaborating with product, design, and engineering to roadmap new client products.

Qualifications

• Bachelor’s degree in a quantitative field such as computer science, statistics, physics, mathematics, or a related discipline.
• Five+ years designing and deploying ML algorithms in retail personalization, recommendation systems, or search.
• Ability to write production-grade code, ideally in Python.

Responsibilities

• Design and analyze experiments testing new features and present next steps to stakeholders.
• Build Next Best Action models and optimize marketing via CRM and paid media channels.
• Apply traditional ML and LLM-based approaches to growth problems.
• Collaborate with product, design, and engineering to roadmap new client products and infrastructure.
• Leverage large behavioral datasets to inform modeling decisions.
• Manage full lifecycle of analytical work from research to production deployment.

Skills

Machine Learning

Experimentation

A/B Testing

Distributed Data

Collaboration

Education

Bachelor's degree in quantitative field

Master's or PhD preferred

Tools

Python

Job description

Stitch Fix is seeking a senior individual contributor on a growth algorithms team that blends machine learning, experimentation, and large-scale data to shape client acquisition, retention, and reactivation programs.

You will design experiments, build Next Best Action models, and apply both traditional ML and LLM-based methods while collaborating with product, design, and engineering to roadmap new client products.