Remote PhD Research Scientist — Fraud & Identity ML (New Grad)

SentiLink; New York (NY); On-site; USD 120,000 - 220,000; 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

SentiLink is seeking a Research Scientist to build models that identify fraudsters and advance our growing suite of financial risk products. This role is designed for new PhD graduates or early-career researchers applying machine learning to real-world fraud detection.

You’ll build and ship ML models in a production environment, gaining hands-on experience across the full ML lifecycle, from research to deployment at scale.

Qualifications

• Bachelor’s/Master’s/PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field or equivalent experience/research.
• Strong foundation in machine learning, statistics, or applied data science.
• Experience with Python and common data science tools.
• Demonstrated ability to analyze complex problems and build data-driven solutions.
• Strong communication skills and ability to explain technical ideas clearly.

Responsibilities

• Develop and maintain fraud detection models through the full model development lifespan: data acquisition, featurization, labeling, training, experimentation, productionalization, and monitoring.
• Build foundational modeling to drive SentiLink’s Fraud and Financial Risk products.
• Research new fraud types and develop new SentiLink products around identity verification.
• Iterate and integrate new data sources with inventive feature engineering.
• Write production-ready code for real-time decision making by partners.
• Design and present analyses informing data acquisition, product development, risk ops priorities, marketing, and sales.

Skills

Python

Machine learning

Statistics

Data analysis

Communication

Education

Quantitative degree (Bachelor’s/Master’s/PhD)

Tools

PostgreSQL

AWS

Job description

SentiLink is seeking a Research Scientist to build models that identify fraudsters and advance our growing suite of financial risk products. This role is designed for new PhD graduates or early-career researchers applying machine learning to real-world fraud detection.

You’ll build and ship ML models in a production environment, gaining hands-on experience across the full ML lifecycle, from research to deployment at scale.