Senior Growth Algorithms Lead — Data-Driven Personalization

Stitch Fix Inc.; United States; Remote; USD 200,000 - 245,000; Full time

Benefits offered by this job

Equity

Medical benefits

Job summary

Stitch Fix is seeking an experienced Growth Algorithms team manager to lead a talented group of data scientists responsible for optimizing client acquisition, retention, and reactivation. The team works across the client lifecycle—from paid media and onboarding to site experiences, CRM, incentives, and reactivation—using experimentation, predictive modeling, and personalized recommendations.

This is a highly cross-functional leadership role that will build trusted relationships across Product,

Qualifications

• Bachelor’s degree in a quantitative field; Master’s or PhD preferred.
• 5+ years applying ML, experimentation, and causal inference to business problems.
• 2+ years as a technical team lead or people manager.
• Strong cross-functional leadership across DS, Product, Engineering, Marketing.
• Excellent communication of evidence, uncertainty, and recommendations.

Responsibilities

• Set and communicate a data science vision for Growth Algorithms and turn goals into a portfolio.
• Lead a team of full-stack data scientists from design to production deployment.
• Partner with Engineering on reliable systems and maintain high-quality code.
• Build an inclusive, high-performing team grounded in ownership and learning.

Skills

Machine learning

Experimentation

Causal inference

Cross-functional leadership

Analytics strategy

Communication

Python

Education

Bachelor’s degree in a quantitative field

Master’s or PhD preferred

Tools

Python

SQL

Experimentation platforms

Production ML systems

Job description

Stitch Fix is seeking an experienced Growth Algorithms team manager to lead a talented group of data scientists responsible for optimizing client acquisition, retention, and reactivation. The team works across the client lifecycle—from paid media and onboarding to site experiences, CRM, incentives, and reactivation—using experimentation, predictive modeling, and personalized recommendations.

This is a highly cross-functional leadership role that will build trusted relationships across Product,