Senior Data Analyst, Storefront (AI)

Location: Palo Alto, California, United States

Base salary: $150,000–$200,000 USD per year. Bonus and equity may also be provided for eligible roles.

Company

hirify.global is a manufacturer-to-consumer retail company building affordable, high-quality essentials through direct manufacturing relationships, proprietary technology, AI, and analytics.

What you will do

• Own end-to-end analytics and data science support for cart, checkout, returns, exchanges, and accounts.
• Design, size, run, and analyze A/B tests and holdout experiments with guardrail metrics and variance reduction.
• Apply causal inference methods such as difference-in-differences, synthetic control, propensity matching, and incrementality testing.
• Diagnose funnel issues and root causes across abandonment, checkout drop-off, post-purchase friction, and account engagement.
• Partner with Product, Engineering, and Design to prioritize opportunities and translate findings into product requirements.
• Build source-of-truth metrics, self-serve dashboards, SQL and Python pipelines, anomaly detection workflows, and evidence-based communications.

Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
• 5+ years of experience as a data scientist or quantitative analyst, ideally in consumer products, e-commerce, or marketplaces.
• Deep hands-on experience writing and debugging Python and SQL daily.
• Strong knowledge of statistics, regression, hypothesis testing, experiment design, and causal inference.
• Experience with BI and visualization tools such as Looker or Mixpanel, including self-serve dashboard development.
• Clear written and verbal communication, ownership, and comfort working with ambiguity, messy data, and limited process.

Nice to have

• Experience with returns and exchanges policy analysis, account experiences, or other post-cart customer journeys.
• Experience in a fast-moving startup environment.

Culture & Benefits

• Mission-driven work focused on making high-quality essentials more affordable and sustainable.
• Fast-paced, high-autonomy environment with responsibility based on contribution rather than tenure or seniority.
• Opportunity to use AI and LLM-assisted tools for exploratory analysis, coding, anomaly detection, and insight generation.
• Bonus and equity may be available for eligible roles.
• Equal employment opportunity and reasonable accommodation support are provided.

Hiring process

• Employment is contingent upon successful completion of a background check.