Applied ML Scientist: Fraud & Identity Risk (Remote)

SentiLink Corp; Northern (KY); Hybrid; USD 180,000 - 220,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Flexible PTO

In-person events

Home office stipend

Job summary

SentiLink Corp is hiring an Applied ML Scientist in the United States to build fraud-detection models and grow risk products. This role targets new PhD graduates or early-career researchers applying ML to real-world fraud detection, including end-to-end lifecycle from research to deployment at scale.

You’ll collaborate across teams to research new fraud types, develop products, and drive insights for sales and marketing in a fast-paced, data-driven setting. Remote within the U.S. is supported.

Qualifications

• Strong foundation in machine learning, statistics, or applied data science.
• Experience with Python and common data science tools through coursework, research, internships, or personal projects.
• Demonstrated ability to analyze complex problems and build data-driven solutions.
• Strong communication skills and ability to explain technical ideas clearly.
• Interest in learning deeply about fraud, identity, and financial risk systems.
• Ability to write clean, maintainable code.
• Strong attention to detail and curiosity about real-world data problems.
• Candidates must be legally authorized to work in the United States and live in the United States.
• Thrive in a fast paced environment characterized by the need to solve varied, high impact, open ended problems.

Responsibilities

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan.
• Build foundational modeling to drive SentiLink’s expanding suite of Fraud and Financial Risk products.
• Research new types of fraud and develop new SentiLink products around identity verification.
• Achieve success by iterating, integrating new data sources and feature engineering.
• Write production‑ready code for real‑time decision making by partners.
• Design, perform, and present analyses informing data acquisition, product development, risk operations, marketing, and sales.
• Work with engineering, risk operations, and data acquisitions to access data and maintain quality.

Skills

Machine learning

Python

Data analysis

Communication

Problem solving

Clean code

Attention to detail

Fraud domain knowledge

Team collaboration

Education

Bachelor’s/Master’s/PhD in Statistics, Computer Science, Physics, Mathematics, or related field

Equivalent experience/research

Job description

SentiLink Corp is hiring an Applied ML Scientist in the United States to build fraud-detection models and grow risk products. This role targets new PhD graduates or early-career researchers applying ML to real-world fraud detection, including end-to-end lifecycle from research to deployment at scale.

You’ll collaborate across teams to research new fraud types, develop products, and drive insights for sales and marketing in a fast-paced, data-driven setting. Remote within the U.S. is supported.