Applied Scientist, PhD New Grad
SentiLinkFraud Detection company
Austin, United States$120,000/year - $220,000/year + equity + benefitsJunior
Andreessen Horowitz
Craft Ventures
Felicis Ventures
NYCA Partners
9Yards Capital
Data & AI
About the role
TL;DR
Build and deploy machine learning models for fraud detection and financial risk.
- •As an Applied Scientist at SentiLink, you will build core products like fraud detection models and advance financial risk solutions.
- •This role is for new PhD graduates interested in applying machine learning to real-world fraud detection, gaining hands-on experience across the full ML lifecycle from research to production deployment.
- •Key Responsibilities Develop and maintain fraud detection models through the full development lifespan.
- •Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
- •Research new types of fraud and develop new SentiLink products around identity verification.
- •Write production-ready code for real-time decision making.
- •Design and present analyses to inform product development and business efforts.
- •Requirements PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field.
- •Strong foundation in machine learning, statistics, or applied data science.
- •Experience with Python and common data science tools.
- •Demonstrated ability to analyze complex problems and build data-driven solutions.
- •Ability to write clean, maintainable code.
Required skills
Pythonscikit-learnAWSPostgreSQL
Nice-to-have skills
TensorFlowPyTorch
Domain expertise
fintech
Benefits & perks
Employer paid group health insurance for you and your dependents, 401(k) plan with employer match, Flexible paid time off, Regular company-wide in-person events, Home office stipend
Tech stack
PythonPostgreSQLAWSEC2S3RDSRedshiftscikit-learnTensorFlowPyTorch