Remote Computer Vision Fraud Data Scientist

Aimlroles; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

100% remote work

Job summary

Aimlroles is seeking a Computer Vision Data Scientist to advance fraud detection on large-scale receipt data. You will design and implement robust models, scoring systems, and feature engineering that leverage OCR, visual embeddings, and behavioral signals.

The role emphasizes real-time decision systems, high-volume processing, and interpretable scoring for review teams, with a 100% remote work setup and global impact.

Qualifications

• 4+ years as a data scientist with experience in fraud detection
• Strong expertise in hypothesis testing, time series, and anomaly detection
• Hands-on experience with classification, ensemble methods, and deep learning (scikit-learn, XGBoost, PyTorch/TensorFlow)
• Computer Vision - Strong experience with image processing and embedding, specifically EfficientNet and FAISS, is a plus
• Experience with high-volume transaction processing and real-time decision systems
• Knowledge of retail/e-commerce fraud patterns preferred
• Familiarity with document fraud techniques and anti-fraud methodologies

Responsibilities

• Analyze large-scale receipt data for fraud patterns and anomalies
• Develop statistical methods to detect subtle inconsistencies in receipt data
• Design feature engineering strategies combining OCR, visual embeddings, and behavioral signals
• Build and optimize ML models for fraud detection using collected data points
• Develop fraud scoring algorithms that combine multiple detection signals and model outputs
• Implement threshold optimization strategies balancing precision and recall for different risk levels
• Design comprehensive fraud scoring systems
• Develop weighted scoring mechanisms adaptive to fraud types and retailer patterns
• Create interpretable scoring frameworks for manual review teams

Skills

Fraud detection

Time series

Anomaly detection

Hypothesis testing

Real-time systems

Retail fraud

Tools

scikit-learn

XGBoost

PyTorch/TensorFlow

FAISS

EfficientNet

Job description

Aimlroles is seeking a Computer Vision Data Scientist to advance fraud detection on large-scale receipt data. You will design and implement robust models, scoring systems, and feature engineering that leverage OCR, visual embeddings, and behavioral signals.

The role emphasizes real-time decision systems, high-volume processing, and interpretable scoring for review teams, with a 100% remote work setup and global impact.