Senior Applied ML Scientist – Fraud & Risk (Remote)

SentiLink; Los Angeles (CA); 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

Job summary

A cutting-edge identity verification firm in Los Angeles is seeking a Staff Applied ML Scientist to develop core products aimed at identifying fraud in financial risk. The ideal candidate has 6+ years of relevant experience or a PhD, with strong capabilities in data science and machine learning. This role involves model development, end-to-end project ownership, and collaboration across teams to drive innovative product solutions in a fast-moving environment filled with high visibility projects.

Qualifications

• 6+ years of relevant work experience or a PhD, or 8+ years with a Master's.
• Strong track record of solving complex business problems.
• Experience in communicating outcomes to senior stakeholders.

Responsibilities

• Develop and maintain fraud detection models.
• Build foundational models for Fraud and Financial Risk products.
• Research new types of fraud for product development.

Skills

Problem-solving with DS/ML solutions

Strong practical ML/Stats knowledge

Production code writing

Attention to detail

Education

PhD in relevant field

Master's degree in relevant field

Tools

Python 3

PostgreSQL

AWS infrastructure

Job description

A cutting-edge identity verification firm in Los Angeles is seeking a Staff Applied ML Scientist to develop core products aimed at identifying fraud in financial risk. The ideal candidate has 6+ years of relevant experience or a PhD, with strong capabilities in data science and machine learning. This role involves model development, end-to-end project ownership, and collaboration across teams to drive innovative product solutions in a fast-moving environment filled with high visibility projects.