Remote AI/ML Fraud & Anomaly Scientist

System One; McLean (VA); Remote; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote work

Job summary

System One seeks an experienced AI/ML Data Scientist for remote work in the US. You will partner with stakeholders to translate business needs into scalable ML solutions, focusing on NLP, semantic search, anomaly and fraud detection, and Generative AI-enhanced workflows.

You will design models, deploy them in AWS data lakehouse environments, and help establish explainability, risk scoring, and investigative support.

Qualifications

• Bachelor’s or Master’s degree in Data Science, CS, Statistics, Math, Engineering, or related field.
• 4+ years of experience in data science, ML, AI, or applied analytics.
• Ability to obtain and maintain a Public Trust clearance; U.S. Citizenship preferred.
• Experience applying ML to NLP, semantic search, entity resolution, anomaly or fraud detection.

Responsibilities

• Partner with stakeholders to define and deliver AI/ML use cases; translate business needs into scalable solutions.
• Design and develop ML models for search, discovery, anomaly and fraud detection across structured/unstructured data.
• Develop anomaly and fraud analyses using supervised/unsupervised/graph-based methods.
• Use Generative AI and foundation models to enhance anomaly workflows and investigator support.
• Build NLP, semantic search, entity resolution, relationship analytics for advanced retrieval.
• Leverage document-based data including OCR/ICR outputs and metadata for analytics.
• Collaborate with data/cloud engineers to deploy models in production using AWS-native services.
• Develop data lakehouse pipelines for prep, training, inference, monitoring, and analytics.
• Create model evaluation frameworks, explainability, and risk-scoring with human-in-the-loop review.
• Evaluate models with precision/recall/F1, FP rate, detection rate, and business impact.
• Support dashboards, alerts, and investigative workflows for operational insights.
• Operate within an Agile delivery model and contribute to sprint planning and iterations.
• Communicate findings and risk indicators clearly to technical and non-technical audiences.
• Contribute to solution design, documentation, and thought leadership in AI/analytics.

Skills

NLP

Generative AI

AWS

Python

SQL

Fraud detection

Anomaly detection

Model deployment

Graph analytics

Education

Bachelor’s or Master’s in Data Science/CS/Statistics

Tools

SageMaker

OpenSearch

Textract

Apache Spark

Lambda

EKS

Job description

System One seeks an experienced AI/ML Data Scientist for remote work in the US. You will partner with stakeholders to translate business needs into scalable ML solutions, focusing on NLP, semantic search, anomaly and fraud detection, and Generative AI-enhanced workflows.

You will design models, deploy them in AWS data lakehouse environments, and help establish explainability, risk scoring, and investigative support.