Senior Full-Stack Data Scientist - Growth Algorithms

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

Role overview

A senior individual contributor role on a growth algorithms team that blends machine learning, experimentation, and large-scale data to shape client acquisition, retention, and reactivation programs. The position sits within a retail personalization organization that combines traditional ML with large language models to power personalized shopping experiences.

Responsibilities

• Design and analyze experiments that test new features and recommend next steps to stakeholders and leadership.
• Build Next Best Action models and optimize marketing efforts through CRM and paid media channels.
• Apply both traditional machine learning and LLM-based approaches to growth problems.
• Work with product, design, and engineering partners to develop roadmaps for new client products and infrastructure.
• Leverage large, behavior-rich datasets about clients, merchandise, and interactions to inform modeling decisions.
• Manage the full lifecycle of analytical and modeling work, from research through production deployment.

Requirements

• Bachelor's degree in a quantitative field such as computer science, statistics, physics, mathematics, or a related discipline; a master's or PhD is preferred.
• Five or more years of experience designing and deploying machine learning algorithms, ideally in retail personalization, recommendation systems, or search.
• Ability to architect technical solutions of moderate complexity and write production-grade code, ideally in Python.
• Experience working with large-scale distributed datasets and accounting for biases in analysis.
• Familiarity with AI-assisted coding practices and agentic product development.
• Hands-on experience designing and interpreting online A/B tests, experimentation frameworks, and performance metrics.
• Strong communication skills, a solution-oriented mindset, and a collaborative approach to working with cross-functional partners.

Nice to have

• Experience mentoring peers or contributing to a culture of shared learning and ownership.

Benefits and work setup

• Competitive salary, equity, and eligibility for an annual bonus and ongoing restricted stock unit grants.
• Comprehensive medical, dental, vision, and other benefits.
• Salary range of $180,000 to $205,000 USD, with placement depending on experience, location, and performance.
• Inclusive culture that values diverse perspectives, ownership, and a growth mindset.