Senior Data Scientist — Experiments & Growth Analytics

Quince

Palo Alto (CA)

On-site

USD 150,000 - 190,000

Full time

7 days ago
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Job summary

Quince is seeking a Senior Data Analyst to partner across cart, checkout, post-purchase, and accounts to quantify what’s working and what’s not. You’ll own end-to-end analytics in a fast-paced storefront, building models, running experiments, and delivering actionable product insights.

You will work closely with Product, Engineering, and Design, building self-serve dashboards and communicating results with clarity. The role emphasizes rigor, speed, and AI-assisted tooling to accelerate analysis.

Qualifications

  • 5+ years of data science or quantitative analytics experience in consumer tech.
  • Strong statistics, hypothesis testing, and causal inference knowledge.
  • Experience designing end-to-end experiments.
  • Proficiency with Python and SQL.
  • Able to translate problems into analytical plans.

Responsibilities

  • Own end-to-end analytics and data science support for cart, checkout, post-purchase (returns & exchanges), and accounts.
  • Design and run experiments (A/B tests, holdouts) across these surfaces with sizing, guardrails, and post-test readouts.
  • Build and maintain source-of-truth metrics and self-serve dashboards for KPIs and flag regressions.
  • Communicate insights with clear, evidence-based storytelling to stakeholders and leadership.

Skills

Python
SQL
Statistics
Experimentation

Education

Bachelor's or Master's in Data Science, Statistics, Computer Science, Economics, Math

Tools

Looker
Mixpanel

Job description

Quince is seeking a Senior Data Analyst to partner across cart, checkout, post-purchase, and accounts to quantify what’s working and what’s not. You’ll own end-to-end analytics in a fast-paced storefront, building models, running experiments, and delivering actionable product insights.

You will work closely with Product, Engineering, and Design, building self-serve dashboards and communicating results with clarity. The role emphasizes rigor, speed, and AI-assisted tooling to accelerate analysis.

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