Senior Data Scientist - AI, Experiments & Insights

Stitch Fix Inc.; United States; Remote; USD 150,000 - 177,000; Full time

Job summary

Stitch Fix, Inc. is seeking a data science professional to partner with Client Experience, Strategy, Marketing, Styling, and Engineering to turn complex data into actionable business strategy.

You will design experiments, analyze outcomes, and build scalable workflows that power AI applications and self‑serve analytics. You will own high‑impact projects from framing through delivery, applying Python or R, SQL, and causal inference to inform decisions and drive measurable outcomes.

Qualifications

• 3+ years of experience in Data Science or related analytical roles, with strong problem framing and business impact.
• Strong foundation in experimentation, causal inference, modeling, and product analytics.
• Experience with large, interconnected datasets and scalable data structures; Python or R and SQL required.

Responsibilities

• Develop sophisticated statistical models, experiments, and causal inference to drive decisions.
• Build scalable analytical capabilities and repeatable workflows across data platforms.
• Own complex analytics initiatives from framing to delivery, with clear executive-ready narratives.
• Partner with cross-functional teams to define success metrics and optimize client journeys.
• Advance technical capabilities by mentoring others and leveraging AI tools to speed analysis.

Skills

Python

R

SQL

Experimentation

Causal inference

Statistical modeling

Product analytics

LLMs & AI agents

Graph databases

Semantic layers

Tools

Graph databases

Semantic layers

Entity modeling

Multimodal data

Job description

Stitch Fix, Inc. is seeking a data science professional to partner with Client Experience, Strategy, Marketing, Styling, and Engineering to turn complex data into actionable business strategy.

You will design experiments, analyze outcomes, and build scalable workflows that power AI applications and self‑serve analytics. You will own high‑impact projects from framing through delivery, applying Python or R, SQL, and causal inference to inform decisions and drive measurable outcomes.