# Data Scientist, Risk at Imprint

- Company: Imprint
- What the company does: Meet the powerful, purpose-built co-branded products that seamlessly adapt to your brand. Backed by Khosla and Kleiner Perkins.
- Company website: https://imprint.co/
- Type: Startups
- Level: Mid level
- Location: Remote
- Work setup: Remote
- Pay: $170K to $200K base salary per year (USD)
- Posted: 2026-06-12
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/imprint/3277b37e-4972-4152-a379-9c58c000b08e
- Page: https://www.1752.vc/careers/jobs/imprint-data-scientist-risk/

## About the role

Own and improve the full top-of-funnel credit decisioning pipeline: application scoring, policy rules, decline waterfalls, and approval rate optimization across direct affiliates, invitation-to-apply, direct mail, paid social, instant prescreens, and on-site applications Build and iterate on underwriting, targeting, and segmentation models that expand safe approvals and improve channel-level acquisition quality

## What they're looking for

- 5 to 8+ years of experience in data science, risk analytics, or a related quantitative field, ideally at a high-growth startup or fintech company
- Strong Python and SQL skills, with the ability to build models, transform raw data, and create custom datasets from complex financial data
- Experience building credit risk or targeting models (scorecards, underwriting models, segmentation) or similar predictive modeling in a regulated environment
- Deep understanding of statistical inference, experimentation design, and causal analysis, with the ability to disentangle policy impact from population shifts and channel mix changes
- Comfort with AI tools and AI-native workflows, you actively use tools like Claude, Copilot, or similar to accelerate your work and are excited to build AI-powered analytical systems
- Full-stack problem-solving orientation: you dive into messy data, trace a decline to its root cause, and question assumptions in pursuit of a better answer

Tags: Credit & Risk