# Staff Data Scientist - Product Analytics at Ironclad

- Company: Ironclad
- What the company does: Backed by Accel, Sequoia and Y Combinator.
- Company website: http://www.ironcladapp.com
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: Remote
- Pay: $180K to $220K base salary per year (USD)
- Posted: 2026-08-10
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/ironcladhq/787067e0-87b3-4bfa-9e4d-d0ace4ccee1f
- Page: https://www.1752.vc/careers/jobs/ironclad-staff-data-scientist-product-analytics/

## About the role

As a Staff Product Analytics Data Scientist, you will be the analytical backbone of how Ironclad understands, measures, and improves its product. You'll turn raw product usage and contract data into a deep, quantitative understanding of how customers adopt our platform and our AI and you'll translate that understanding into decisions that shape the roadmap.

## What they're looking for

- 8+ years of experience in product analytics, data science, or a closely related quantitative field, including demonstrated impact at a senior or staff level (ideally at a B2B SaaS company)
- Deep expertise in product analytics: experimentation and A/B testing, funnel and retention analysis, causal inference, and defining product metrics that stand up to scrutiny
- Advanced SQL, plus fluency in Python or R for analysis, statistics, and modeling
- You can own dbt models, data modeling, and ELT best practices, and you're comfortable being the person who fixes the pipeline rather than filing a ticket
- A track record of partnering with Product and Engineering to ship data products or data-informed features, not just deliver dashboards and reports
- Strong data mining and exploratory instincts: you find the signal in large, messy datasets and know which findings are worth acting on

Tags: Engineering, Product & Design