Data Scientist
Stitch Fix · Remote, USA
About this role
**Data Scientist** **About the Role** Join the Decisions & Insights team at Stitch Fix and empower teams across the organization with objective, high-impact insights and intelligent self-service tools. Using experimentation, causal inference, advanced analytics, and AI, you'll go beyond understanding what happened to uncover why it happened and what to do next. Partner with teams across Client Experience, Strategy, Marketing, Styling, Client Support, and Engineering to turn complex data into actionable business strategy. You'll design and analyze experiments, uncover differentiated insights from rich structured and unstructured data, and build repeatable analytical workflows that scale across the organization. **What You'll Do** • **Develop** sophisticated statistical models, experiments, and causal inference approaches that inform high-impact decisions • **Build** scalable analytical capabilities including semantic layers, entity models, and repeatable workflows • **Own** complex analytical initiatives from problem definition through execution and communication • **Partner** with cross-functional teams to define success metrics and identify improvement opportunities • **Advance** technical capabilities by mentoring Data Scientists and leveraging LLMs and AI agents **About You** • 3+ years of experience in Data Science or related analytical role • Strong foundation in experimentation, causal inference, statistical modeling, and product analytics • Experience with complex, interconnected datasets and building scalable data structures • Proficient in Python or R and SQL; comfortable with LLMs and AI agents • Strong communicator and independent problem solver who can translate complex concepts for business audiences **Compensation** Salary Range: $150,000 – $177,000 USD Competitive benefits, equity, annual bonus eligibility, and comprehensive health and wellness benefits. **Why Stitch Fix** Work with bright, kind people motivated by challenge. We value integrity, innovation, and trust while cultivating diverse perspectives and solving problems through a growth mindset.
Listing freshness
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