Data Scientist

Summary

Stitch Fix combines human creativity with advanced data science and Generative AI to personalize shopping and improve retail. The Data Scientist will use experimentation, causal inference, statistical modeling, and AI to turn complex data into actionable business strategies, build scalable analytical capabilities, and influence cross-functional decisions.

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

Skills

• You have **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
• You have 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
• You have 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
• You are proficient in **Python or R and SQL** and are comfortable developing analytical solutions in collaborative, production-oriented environments. You also know how to effectively leverage **LLMs and AI agents** to accelerate problem-solving, analysis, documentation, and day-to-day workflows
• You are a 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

Qualifications

Must Haves

• You have **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
• You have 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
• You have 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
• You are proficient in **Python or R and SQL** and are comfortable developing analytical solutions in collaborative, production-oriented environments. You also know how to effectively leverage **LLMs and AI agents** to accelerate problem-solving, analysis, documentation, and day-to-day workflows
• You are a 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

Benefits

• Annual bonus eligibility
• New hire and ongoing grants of restricted stock units, depending on employee and company performance
• Medical benefits
• Dental benefits
• Vision benefits
• Other benefits
• Inclusive health and wellness benefits