Senior Full-Stack Data Scientist - Growth Algorithms

Stitch Fix

2d•$180,000 - $205,000

About The Position

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.

Requirements

Bachelor’s Degree in a quantitative field such as Computer Science, Statistics, Physics, Mathematics, or a related field required.
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.

Nice To Haves

Master’s Degree or PhD preferred.

Responsibilities

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