# Senior Applied ML Scientist at SentiLink

- Company: SentiLink
- What the company does: SentiLink combines technology and expertise to help financial institutions stop identity fraud at the application stage. Backed by a16z and Felicis.
- Company website: https://www.sentilink.com
- Type: Startups (AI role)
- Level: Senior
- Location: United States
- Work setup: Remote
- Posted: 2026-03-13
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/sentilink/15353e34-d132-49d7-a8c9-c5e8adb783f4
- Page: https://www.1752.vc/careers/jobs/sentilink-senior-applied-ml-scientist/

## About the role

Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring. Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.

## What they're looking for

- 4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters
- Proven track record of solving complex / high profile business problems with DS / ML solutions
- Experience in communicating outcomes / progress to senior management / stakeholders
- Very strong in “end to end” DS development: Planning, fleshing out success criteria / metrics, getting buy-in, developing the solution, delivering the solution (prod / deck / strategy doc / etc)
- Strong practical ML / Stats knowledge, i.e. can easily employ the suite of standard ML / stats tools to quickly scope out solutions, and double down where needed. Experience with SOTA ML solutions is a plus
- Interest in developing deep domain expertise for product-focused work: a background in fraud is not required, but willingness to learn is

Tags: Data Science