SentiLink is seeking a Senior Applied Machine Learning Scientist to develop advanced fraud detection models and contribute to their growing suite of financial risk products. The ideal candidate will have extensive experience in data science and machine learning, with a strong focus on end-to-end development and an interest in the finance sector
Job Summary
As a Senior Applied ML Scientist, you will build core products that identify fraudsters and advance financial risk solutions, often working on high-visibility projects.
Responsibilities include developing and maintaining fraud detection models through the full lifecycle, researching new fraud types, and writing production-ready code for real-time decision making.
The company offers employer-paid group health insurance, a 401(k) plan with employer match, flexible paid time off, and regular company-wide in-person events.
Matching Summary
Match Score: 85
SentiLink is seeking a Senior Applied Machine Learning Scientist to develop advanced fraud detection models and contribute to their growing suite of financial risk products. The ideal candidate will have extensive experience in data science and machine learning, with a strong focus on end-to-end development and an interest in the finance sector.
Salary
$200,000/year - $240,000/year; equity + benefits; Not specified
Skills & Requirements
Must-have
end-to-end ML development
production code and tests
Python 3, PostgreSQL, AWS
research new types of fraud
develop new products
Nice-to-have
deep domain expertise
startup environment experience
fast-paced environment
identity solutions familiarity
fintech industry familiarity
Key Requirements
4+ years relevant work experience & relevant PhD
6+ years relevant work experience & relevant Masters
Proven track record solving business problems with DS/ML