Data Scientist

Stitch Fix

4d•$150,000 - $177,000

About The Position

The Decisions & Insights team empowers teams across Stitch Fix with objective, high-impact insights and intelligent self-service tools that improve how we understand clients and make decisions. Using experimentation, causal inference, advanced analytics, and AI, the team goes beyond understanding what happened to uncover why it happened and what we should do next. In this role, you will partner with teams across Client Experience, Strategy, Marketing, Styling, Client Support, and Engineering to turn complex data into actionable business strategy. You will design and analyze experiments and observational studies, uncover differentiated insights from Stitch Fix's rich structured and unstructured data, and build repeatable analytical workflows and systems that scale those learnings across the organization. You’ll independently own high-impact problems from initial framing through delivery, combining technical depth, business judgment, and strong communication to influence decisions and drive measurable outcomes.

Requirements

3+ years of experience in Data Science or a related analytical role, with experience applying advanced analytical methods to complex business problems; experience in e-commerce, retail, or a similarly data-rich environment is a plus.
A strong foundation in experimentation, causal inference, statistical modeling, and product analytics, including defining success metrics, analyzing user behavior, and connecting analytical results to measurable business outcomes.
Experience working with complex, interconnected datasets and building scalable data structures or analytical capabilities; experience with graph databases, semantic layers, entity modeling, or multimodal data is strongly valued.
Proficient in Python or R and SQL and are comfortable developing analytical solutions in collaborative, production-oriented environments.
Ability to effectively leverage LLMs and AI agents to accelerate problem-solving, analysis, documentation, and day-to-day workflows.
Strong communicator and independent problem solver who can bring structure to ambiguity, own initiatives from concept through delivery, translate complex technical concepts for business and executive audiences, and help raise the technical bar for those around you.

Nice To Haves

experience in e-commerce, retail, or a similarly data-rich environment is a plus.
experience with graph databases, semantic layers, entity modeling, or multimodal data is strongly valued.

Responsibilities

Develop sophisticated statistical models, experiments, and causal inference approaches that uncover the drivers of client and business outcomes and inform high-impact decisions.
Build scalable analytical capabilities—including semantic layers, entity models, and repeatable workflows—that connect fragmented data and enable analytics, predictive modeling, AI applications, and self-service decision-making.
Own complex, ambiguous analytical initiatives from problem definition through execution, measurement, and communication, translating findings into clear recommendations and executive-ready narratives.
Partner with Client Experience, Strategy, Marketing, Styling, Engineering, and other cross-functional teams to define success metrics, understand client journeys and behaviors, and identify opportunities to improve products and experiences.
Advance the team’s technical capabilities by mentoring other Data Scientists and leveraging LLMs, AI agents, and emerging tools to accelerate analysis, improve workflows, and raise the bar for experimentation, modeling, and technical excellence.