# Applied Scientist, PhD New Grad

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $120k – $220k/yr
**Experience:** 0+ years
**Skills:** Python, Postgres, AWS, Amazon Ec2, Amazon S3, Amazon Rds, Amazon Redshift, Machine Learning, Statistics, Data Science, Feature Engineering, Model Deployment, Fraud Detection, Identity Verification, Real-Time Systems
**Posted:** 2026-08-08

> Build and deploy machine learning models for fraud detection, identity verification, and financial risk products across the full lifecycle. The role targets new PhD graduates or early-career researchers with strong foundations in machine learning, statistics, Python, and production software development.

## Job Description

## Responsibilities
- Develop and maintain fraud detection models across the full model development lifecycle, including data acquisition, featurization, labeling, model training, experimentation, productionization, and monitoring.
- Build foundational models for fraud and financial risk products.
- Research new types of fraud and develop identity verification products.
- Integrate new data sources and create inventive features through iterative research and development.
- Write production-ready code for real-time decision-making.
- Design, perform, and present analyses informing data acquisition, product development, risk operations, marketing, and sales.
- Collaborate with engineering, risk operations, and data acquisition teams to access required data, maintain data quality, and support data access.

## Requirements
- Bachelor's, master's, or PhD in Statistics, Computer Science, Physics, Mathematics, or a related quantitative field, or equivalent experience or research.
- 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.
- Ability to analyze complex problems and build data-driven solutions.
- Strong communication skills and ability to explain technical ideas clearly.
- Interest in fraud, identity, and financial risk systems.
- Ability to write clean, maintainable code.
- Strong attention to detail and curiosity about real-world data problems.
- Legal authorization to work in the United States and residence in the United States.
- Ability to thrive in a fast-paced environment involving varied, high-impact, open-ended problems.

## Technologies
- Python 3
- PostgreSQL
- AWS infrastructure, including EC2, S3, RDS, and Redshift

## Compensation and Benefits
- Salary range: **$120,000–$220,000 per year**, plus equity and benefits.
- Employer-paid group health insurance for employees and dependents.
- 401(k) plan with employer match.
- Flexible paid time off.
- Regular company-wide in-person events.
- Home office stipend.

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