Data Scientist – Fraud & Financial Risk (Remote)

SentiLink; Austin (TX); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Regular company-wide in-person events

Home office stipend

Job summary

SentiLink in the United States is seeking a Data Scientist to build core products: fraud-detection models and expanding risk offerings. This full-stack DS role emphasizes end-to-end ownership, deep domain understanding, and producing production-grade code in a fast-moving environment.

You will collaborate across teams to research new fraud types, validate data sources, and inform product, risk, and sales strategies. Remote-friendly with opportunities for in-office collaboration at our U.S.

Qualifications

• 2+ years relevant work experience and PhD or 4+ years with Masters.
• Proven track record solving complex DS/ML problems.
• Experience communicating outcomes to senior management.
• Experience writing production code and tests.
• Startup experience preferred.

Responsibilities

• Develop and maintain fraud detection models across the full model development lifespan.
• Build foundational modeling for Fraud and Financial Risk products.
• Research new types of fraud and develop related SentiLink products.
• Achieve success by researching and iterating with data sources and feature engineering.
• Write production-ready code for real-time decision making by partners.
• Design and present analyses to inform data acquisition, product development, risk operations, marketing, and sales.

Skills

DS/ML expertise

End-to-end DS development

Production-grade code

Startup experience

Education

PhD in relevant field

Masters in relevant field

Tools

Python

PostgreSQL

AWS (EC2/S3/RDS/Redshift)

Job description

SentiLink in the United States is seeking a Data Scientist to build core products: fraud-detection models and expanding risk offerings. This full-stack DS role emphasizes end-to-end ownership, deep domain understanding, and producing production-grade code in a fast-moving environment.

You will collaborate across teams to research new fraud types, validate data sources, and inform product, risk, and sales strategies. Remote-friendly with opportunities for in-office collaboration at our U.S.