Quince
Senior Data Analyst, Storefront
$163K–$188K
Palo Alto, California, United States · Senior · Full-time · Posted Oct 9, 2026
- Experience
- 5+ years; data scientist, data analyst, or quantitative analyst; ideally on a consumer-facing or e-commerce product.
- Education
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field.
About the job
Own end-to-end analytics for Quince’s storefront post-cart journey, using experiments, causal inference, and AI workflows to guide product decisions.
What you'll do
- Analyze cart, checkout, post-purchase, and account journeys; identify funnel issues and recommend what to build or fix.
- Design and evaluate experiments, applying causal inference when randomization is not possible.
- Build metrics, dashboards, and SQL/Python pipelines; support instrumentation and data quality, and develop AI/LLM workflows.
What they ask for
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Math, or a related quantitative field.
- 5+ years of experience as a data scientist, data analyst, or quantitative analyst.
- Deep hands-on expertise in Python and SQL, including daily use and building pipelines.
- Experience owning experiments end to end and using causal inference when randomization is not possible; uses AI tools in their workflow every day.
Nice to have
- Experience with returns, exchanges, or post-purchase analytics.
- Experience building AI/LLM-powered analytics workflows; early-stage or high-growth startup experience.
Pay
$163,000 — $188,000 USD (base salary)
Tools
Python, SQL, AI/LLM
AI focus
Build AI/LLM workflows to increase team throughput; use AI tools in daily work, such as for anomaly triage or automated readouts.
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