# Data Scientist II, Full Stack

**Company:** [SentiLink](https://hotfix.jobs/companies/sentilink)
**Location:** Remote
**Role:** Data Science
**Salary:** $180k – $220k/yr
**Experience:** 4+ years
**Skills:** Python, Postgres, AWS, amazon ec2, amazon s3, amazon rds, amazon redshift, Machine Learning, Statistics, feature engineering, model monitoring, production code, Data Science, Fraud Detection, identity verification
**Posted:** 2026-08-13

> Builds and owns fraud detection and financial-risk models end to end, from data acquisition and feature engineering through production deployment and monitoring. The role requires strong practical machine learning and statistics expertise, production coding experience, and either 4+ years with a relevant master’s degree or 2+ years with a relevant PhD.

## Job Description

## Responsibilities
- Develop and maintain fraud detection models across the full model development lifecycle, including data acquisition, featurization, labeling, 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 supporting data acquisition, product development, risk operations, marketing, and sales.
- Collaborate with engineering, risk operations, and data acquisition teams to access data, maintain data quality, and support data access.

## Requirements
- 2+ years of relevant work experience with a relevant PhD, or 4+ years of relevant work experience with a relevant master's degree.
- Track record of solving complex, high-profile business problems with data science and machine learning solutions.
- Experience communicating outcomes and progress to senior management and stakeholders.
- Strong end-to-end data science development experience, including planning, defining success criteria and metrics, gaining buy-in, developing solutions, and delivering production, presentation, or strategy outputs.
- Strong practical machine learning and statistics knowledge.
- Experience writing production code and tests.
- Detail-oriented, thoughtful, and dependable when making business-critical decisions.
- Experience working at a startup.
- Willingness to develop deep domain expertise in product-focused work.
- Must be legally authorized to work in the United States and live in the United States.
- Ability to thrive in a fast-paced environment with varied, high-impact, open-ended problems.

## Nice to Have
- Experience with state-of-the-art machine learning solutions.
- Familiarity with identity solutions, fintech, or adjacent industries.
- Background in fraud.

## Compensation and Benefits
- Salary: **$180,000-$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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