
Job Overview
Location
United States
Job Type
Full-time
Category
Data Science
Date Posted
April 22, 2026
Full Job Description
đź“‹ Description
- • As a Data Scientist at SentiLink, you will build core fraud detection models and advance financial risk products, applying machine learning to real-world identity verification challenges in a fast-paced, high-impact environment.
- • You will develop and maintain models through the full ML lifecycle—from data acquisition and feature engineering to training, deployment, and monitoring—while writing production-ready code for real-time decision-making.
- • You’ll collaborate with engineering, risk operations, and data teams to research new fraud types, develop innovative products, and provide analyses that inform sales, marketing, and risk priorities.
- • This role offers end-to-end ownership of ML projects, deep domain expertise in fraud and identity systems, and the opportunity to grow as a full-stack data scientist in a mission-driven fintech company backed by top-tier investors.
Skills & Technologies
About SentiLink Corporation
SentiLink builds real-time identity verification and fraud prevention infrastructure for banks, fintechs, and government agencies. Its API-driven platform uses machine learning and authoritative data sources to spot synthetic identities, stolen identities, and other high-risk applications at account opening. The company also offers compliance tools for KYC, CIP, and CDD mandates. Headquartered in San Francisco and founded in 2017, SentiLink serves major U.S. lenders and card issuers, reducing fraud losses and manual review costs while improving onboarding speed and accuracy.
Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.
Newsletter
Weekly remote jobs and featured talent.
No spam. Only curated remote roles and product updates. You can unsubscribe anytime.
Similar Opportunities

FundraiseUp Inc.
2 months ago

Cleerly, Inc.
9 days ago

