# Data Scientist, New Grad

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $120k – $220k/yr
**Experience:** 0+ years
**Skills:** Python, Machine Learning, Postgres, AWS, EC2, S3, Rds, Redshift, Statistics, Data Science
**Posted:** 2026-03-13

> Build and deploy ML models for fraud detection and financial risk at SentiLink. New grad role for PhD/early-career researchers handling full ML lifecycle with Python, AWS; requires strong ML/stats foundation and production coding skills.

## Job Description

## Responsibilities

- Develop and maintain fraud detection models through full lifecycle: data acquisition, featurization, labeling, training, experimentation, productionalization, monitoring.
- Build foundational modeling for Fraud and Financial Risk products.
- Research new fraud types and develop identity verification products.
- Achieve success through iteration, new data sources, inventive feature engineering.
- Write production-ready code for real-time decisions.
- Design, perform, present analyses for data acquisition, product development, risk operations, marketing, sales.
- Collaborate with engineering, risk operations, data acquisitions for data access and quality.

## Requirements

- Bachelor’s, Master’s, or PhD in Statistics, Computer Science, Physics, Mathematics, or related quantitative field (or equivalent).
- Strong foundation in machine learning, statistics, or applied data science.
- Experience with Python and data science tools (coursework, research, internships, projects).
- Ability to analyze complex problems and build data-driven solutions.
- Strong communication skills.
- Interest in fraud, identity, financial risk.
- Ability to write clean, maintainable code.
- Strong attention to detail and curiosity.
- Thrive in fast-paced environment.

## Salary Range

$120,000 - $220,000/year + equity + benefits.

## Perks

- Employer paid health insurance.
- 401(k) with match.
- Flexible PTO.
- In-person events.
- Home office stipend.

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**Apply:** https://hotfix.jobs/jobs/ad9b60a4-1a32-4c53-a549-288c4210e0ed
**Canonical:** https://hotfix.jobs/jobs/ad9b60a4-1a32-4c53-a549-288c4210e0ed