Fraud AI/ML Scientist: Anomaly Detection & Insights

Guidehouse; Washington (District of Columbia); On-site; USD 80,000 - 133,000; Full time

Benefits offered by this job

Medical Insurance

401(k)

Parental Leave

PTO

Job summary

Guidehouse is seeking a data science professional in Washington, DC to partner with stakeholders and translate business needs into scalable AI/ML solutions. You will design and deploy models for search, anomaly detection, and fraud analytics across structured and unstructured data.

Responsibilities include building NLP and semantic search capabilities, leveraging AWS-native services, and delivering production-ready data science workflows within an AWS data lakehouse.

Qualifications

• BS/MS in data science, CS, statistics, maths, or engineering.
• 4+ years in data science, ML, AI, or analytics.
• US citizenship and ability to obtain Public Trust clearance.

Responsibilities

• Partner with stakeholders to define and deliver AI/ML use cases and translate business needs into scalable data science solutions.
• Design and develop ML models for search, discovery, anomaly and fraud detection across structured and unstructured data.
• Develop anomaly/fraud analyses using supervised, unsupervised, and graph-based techniques; include pattern detection and risk scoring.

Skills

Python

SQL

AWS

Machine Learning

NLP

Education

Bachelor's degree in Data Science, CS, Statistics, Mathematics, Engineering

Tools

Amazon SageMaker

Amazon Bedrock

OpenSearch Service

Apache Spark

Job description

Guidehouse is seeking a data science professional in Washington, DC to partner with stakeholders and translate business needs into scalable AI/ML solutions. You will design and deploy models for search, anomaly detection, and fraud analytics across structured and unstructured data.

Responsibilities include building NLP and semantic search capabilities, leveraging AWS-native services, and delivering production-ready data science workflows within an AWS data lakehouse.