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

SentiLink; New York (NY); 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

Regular company-wide in-person events

Home office stipend

Job summary

A leading identity solutions company seeks a Senior Applied ML Scientist to enhance fraud detection models and develop innovative products for identity verification. The role demands strong expertise in machine learning, end-to-end data science processes, and the capacity to communicate with senior management. The ideal candidate will have a PhD or relevant experience, with skills in Python, PostgreSQL, and AWS. This full-time position offers competitive salary and equity options, complemented by comprehensive health benefits and a flexible work environment.

Qualifications

• 4+ years of experience with a PhD or 6+ years with a Master's.
• Proven track record in data science and machine learning.
• Experience communicating outcomes to senior management.

Responsibilities

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

Skills

End-to-end data science development

Machine Learning

Statistical analysis

Communication skills

Problem-solving

Education

PhD in a relevant field

Master's in a relevant field

Tools

Python 3

PostgreSQL

AWS infrastructure

Job description

A leading identity solutions company seeks a Senior Applied ML Scientist to enhance fraud detection models and develop innovative products for identity verification. The role demands strong expertise in machine learning, end-to-end data science processes, and the capacity to communicate with senior management. The ideal candidate will have a PhD or relevant experience, with skills in Python, PostgreSQL, and AWS. This full-time position offers competitive salary and equity options, complemented by comprehensive health benefits and a flexible work environment.