About the Role

Stitch Fix is redefining retail by blending the art of fashion with the science of machine learning. The Client Experience Algorithms organization builds the tools that power personal style, combining best-in-class models with expert human judgment. We foster a culture of ownership where Data Scientists manage the full lifecycle of their work, from research to model deployment. On our Growth Algorithms team, you'll use multidisciplinary tools to solve complex problems in a data-rich environment, directly influencing Stitch Fix's client acquisition, retention, and reactivation programs.

Responsibilities:

• You will work in a team that embraces both LLMs and traditional ML.
• You will design experiments to test new features, including communication of results and recommendations to stakeholders and leadership.
• You will help optimize our client journeys through Next Best Action modeling as well as marketing optimization via CRM and paid media.
• You will leverage a decade's worth of rich and unique data about our clients, our merchandise, and their interactions.
• You will work with our product, design, and engineering partners to create roadmaps for developing new client products, user features, and infrastructure.

About You

This is what you'll need to succeed in this role from day 1.

Requirements:

• Bachelor's Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required. Master's Degree or PhD preferred.
• 5+ years of experience in design and deployment of machine learning algorithms, ideally in retail personalization, such as recommendation systems or search.
• Ability to architect technical solutions of moderate complexity and write production-grade applications, ideally in Python.
• Experience with management and analysis of large-scale, distributed datasets, accounting for biases and lurking variables in analytical interpretation.
• Applied knowledge of AI-assisted coding best practices and development of agentic product solutions.
• Experience with design and interpretation of online A/B testing, experimentation frameworks, and performance metrics.
• Strong communication skills, solution-oriented mindset, and sense of ownership in collaborating with business partners.
• Team player who sees your growth and success intertwined with the growth and success of your peers and cross-functional partners.
• Inspired to take on new challenges and not shy away from failure.

Compensation and Benefits

This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone's compensation-including a candidate's professional background, experience, location, and performance. This position is eligible for an annual bonus, and new hire and ongoing grants of restricted stock units, depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site.

Salary Range

$180,000-$205,000 USD