Fraud AI/ML Scientist: GenAI & Anomaly Detection

Guidehouse

San Antonio (TX)

Hybrid

USD 80,000 - 133,000

Full time

14 days+

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Benefits offered by this job

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Paid H
Parental Leave
401(k) Retirement Plan
Group Term Life and Travel Assistance
Health Savings Account, HSA & FSAs

Job summary

Guidehouse Digital is seeking a data science professional to define and deliver AI, machine learning, and analytics use cases in a fast-paced environment. You will translate business needs into scalable data science solutions and design models for search, anomaly, and fraud detection across diverse data sources.

You will work with stakeholders to operationalize models in AWS data lakehouse environments, utilizing Sagemaker, OpenSearch, and other AWS services.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field.
  • At least 4 years of experience in data science, ML, AI, or applied analytics.
  • U.S. Citizenship and ability to obtain Public Trust clearance.
  • Experience in NLP, semantic search, entity resolution, anomaly/fraud detection.
  • Experience with AWS-native data, analytics, AI, and ML services.
  • Experience with large-scale structured and unstructured data.

Responsibilities

  • Partner with stakeholders to define 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/unstructured data.
  • Develop anomaly/fraud detection analyses using supervised, unsupervised, semi-supervised, statistical, and graph-based techniques.
  • Leverage Generative AI and foundation models to enhance anomaly and fraud detection workflows.
  • Collaborate with data and cloud engineers to deploy models into production environments on AWS.

Skills

AI & ML
Analytics
Python
SQL
NLP
AWS

Education

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

Tools

AWS
SageMaker
OpenSearch
Textract
Bedrock
Python

Job description

Guidehouse Digital is seeking a data science professional to define and deliver AI, machine learning, and analytics use cases in a fast-paced environment. You will translate business needs into scalable data science solutions and design models for search, anomaly, and fraud detection across diverse data sources.

You will work with stakeholders to operationalize models in AWS data lakehouse environments, utilizing Sagemaker, OpenSearch, and other AWS services.

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