Applied Scientist, Fraud & Risk ML (PhD)

SentiLink; Los Angeles (CA); On-site; USD 120,000 - 220,000; Full time

Benefits offered by this job

Employer paid health insurance

401(k) with employer match

Flexible paid time off

Regular company-wide in‑person events

Home office stipend

Job summary

SentiLink is seeking an Applied Scientist in the United States to build core products: models that identify fraudsters and advance our risk solutions. This role is ideal for new PhD graduates or early-career researchers who want real-world ML applied to fraud detection and financial risk, with hands-on experience from research to deployment in production.

You will own end-to-end ML projects, shipping models at scale, and collaborating with cross‑functional teams.

Qualifications

• Background in ML, statistics, or applied data science.
• Experience with Python and data science tools.
• Ability to analyze complex problems and build data-driven solutions.
• Legally authorized to work in the United States and reside in the United States.

Responsibilities

• Develop and maintain SentiLink’s fraud detection models through the full model development lifespan: from data acquisition decisions through featurization, focusing labeling resources, model training, experimentation, productionalization, and monitoring.
• 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 researching / developing through iteration, integration of new data sources and inventive feature engineering.
• Write production‑ready code that can be relied on for real‑time decision making by our partners.
• Design, perform, and present analyses that will inform data acquisition, product development, risk operations priorities, marketing, and sales efforts.
• Work with engineering, risk operations, and data acquisitions to access necessary data, maintain data quality, and support data access

Skills

Machine learning

Statistics

Data science

Python

Education

Bachelor’s/Master’s/PhD in Statistics/CS/Physics/Math or related quantitative field

Tools

Python 3

PostgreSQL

AWS

Job description

SentiLink is seeking an Applied Scientist in the United States to build core products: models that identify fraudsters and advance our risk solutions. This role is ideal for new PhD graduates or early-career researchers who want real-world ML applied to fraud detection and financial risk, with hands-on experience from research to deployment in production.

You will own end-to-end ML projects, shipping models at scale, and collaborating with cross‑functional teams.