Senior Applied ML Scientist — Real-Time Fraud & Risk, Remote

SentiLink; Austin (TX); Hybrid; USD 200,000 - 240,000; Full time

Benefits offered by this job

Employer paid group health insurance

401(k) plan with employer match

Flexible paid time off

Home office stipend

Company-wide in-person events

Job summary

A technology company in Austin is looking for a Senior Applied ML Scientist to lead the development of fraud detection models and advance financial risk products. The role requires strong skills in machine learning and data analysis, with a firm understanding of the product domain. This position offers a salary range of $200,000 - $240,000 annually, alongside equity and benefits. The company supports flexible work arrangements, including hybrid and remote options.

Qualifications

• 4+ years relevant work experience & relevant PhD or 6+ years & relevant Masters.
• Proven track record of solving complex business problems with DS/ML solutions.
• Strong practical ML/Stats knowledge with experience in production code.

Responsibilities

• Develop and maintain fraud detection models throughout their lifespan.
• Research new types of fraud and develop new products around identity verification.
• Write production-ready code for real-time decision making.

Skills

Problem-solving

Machine Learning

Data Analysis

End-to-end DS development

Communication

Detail-oriented

Education

PhD in relevant field

Masters in relevant field

Tools

Python

PostgreSQL

AWS

Job description

A technology company in Austin is looking for a Senior Applied ML Scientist to lead the development of fraud detection models and advance financial risk products. The role requires strong skills in machine learning and data analysis, with a firm understanding of the product domain. This position offers a salary range of $200,000 - $240,000 annually, alongside equity and benefits. The company supports flexible work arrangements, including hybrid and remote options.