Senior Applied ML Scientist – Fraud & Risk (Remote)

SentiLink; New York (NY); Hybrid; USD 200,000 - 240,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) plan with employer match

Flexible paid time off

Regular company events

Home office stipend

Job summary

A leading identity verification company in New York is seeking a Staff Applied ML Scientist to build core products focused on fraud detection. The ideal candidate will have substantial experience in data science and machine learning, capable of end-to-end solutions. Responsibilities include developing models, researching fraud, and writing production code. This full-stack role combines technical expertise with a collaborative approach, ideal for individuals passionate about innovative risk solutions in a fast-paced environment.

Qualifications

• 6+ years of relevant work experience or 8+ years with Masters.
• Proven track record with DS/ML solutions.
• Experience in production code writing.

Responsibilities

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

Skills

End-to-end DS development

Strong ML/Stats knowledge

Problem-solving

Communication with stakeholders

Detail oriented

Education

PhD in relevant field

Masters in relevant field

Tools

Python 3

PostgreSQL

AWS (EC2, S3, RDS, Redshift)

Job description

A leading identity verification company in New York is seeking a Staff Applied ML Scientist to build core products focused on fraud detection. The ideal candidate will have substantial experience in data science and machine learning, capable of end-to-end solutions. Responsibilities include developing models, researching fraud, and writing production code. This full-stack role combines technical expertise with a collaborative approach, ideal for individuals passionate about innovative risk solutions in a fast-paced environment.