Guidehouse Inc.
Fraud AI/ML Data Scientist
US - Remote (Any location) · Mid
No sponsorship$80k-$133kDetected 5 days ago
PythonSQLElasticsearchRedshiftAWSMachine LearningTensorFlowPyTorchscikit-learnPandasNumPyData ScienceNLPLLMsRAGStatisticsA/B TestingAgileEHR/EMRLeadershipCommunication
Stay score
odds of building a lasting career here
50Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Green-card follow-through: 38%
Of 8 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 493 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.
Files H-1B transfers
6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- The annual salary range for this position is $80,000.00-$133,000.00.
- All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com.
- Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse.
Responsibilities
- Develop anomaly and fraud detection analyses using supervised, unsupervised, semi-supervised, statistical, and graph-based techniques, including outlier detection, behavioral profiling, risk scoring, pattern detection, and relationship analysis.
- Use Generative AI and foundation models to enhance anomaly and fraud detection workflows through alert enrichment, case summarization, contextual analysis, evidence synthesis, pattern explanation, investigative hypothesis generation, and analyst decision support.
- Build and implement natural language processing, semantic search, entity resolution, and relationship analytics capabilities to enable advanced information retrieval and identification of suspicious patterns and connections.
- Leverage document-based data, including OCR/ICR outputs, metadata, images, extracted fields, and free text, to support downstream analytics, search, anomaly detection, and fraud analysis.
- Collaborate with data engineers, cloud engineers, investigators, and business stakeholders to integrate models and analytical capabilities into production environments using AWS-native services.
- Develop and operationalize data science solutions within an AWS data lakehouse, including scalable data preparation, feature engineering, model training, inference, monitoring, and analytics.
- Develop model evaluation frameworks, confidence and risk scoring, explainability, traceability, and human-in-the-loop review approaches to ensure AI outputs are transparent, actionable, and suitable for investigative and operational use.
- Support the development of dashboards, reporting, alerting, and investigative workflows that drive operational insights and informed decision-making.
- Contribute to solution design, proposal support, technical documentation, and thought leadership in AI, analytics, anomaly detection, and fraud detection.
- Experience working with large-scale structured and unstructured data, particularly document-based datasets such as text, PDFs, images, extracted fields, and metadata.
Requirements
- Travel Required:
- Clearance Required:
- Ability to Obtain Public Trust
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- U.S. Citizenship required and the ability to obtain and maintain a Public Trust clearance.
Nice to have
- Experience using Amazon Bedrock foundation models or comparable enterprise Generative AI capabilities for analytics, anomaly detection, fraud investigation, or case-management workflows.
- Experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, agentic workflows, guardrails, foundation-model evaluation, and responsible AI controls for enterprise use cases.
- Experience with multimodal data processing involving text, images, documents, metadata, and other data types.
- Experience using Amazon OpenSearch Service, graph databases, or graph-processing frameworks for relationship mapping, link analysis, and suspicious-network detection.
- Experience designing analytics dashboards, alert-management interfaces, investigative reporting, or case-triage solutions for end users.
- Knowledge of AWS security and governance practices, including IAM, encryption, logging, data classification, least-privilege access, and handling sensitive or regulated information.
- Previous experience supporting federal clients or working in regulated environments.
- Consulting experience or experience in a client-facing delivery role strongly preferred.
Compensation
- Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
- Care.com annual membership
Benefits
- Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
- Benefits include:
- Medical, Rx, Dental & Vision Insurance
- Parental Leave
- 401(k) Retirement Plan
- Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
- Transit and Parking Commuter Benefits
- Short-Term & Long-Term Disability
- Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
- Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)
- Position may be eligible for a discretionary variable incentive bonus
Equal opportunity
- Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Visa & Work Authorization
- Citizenship required and the ability to obtain and maintain a Public Trust clearance
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This listing is sourced directly from Guidehouse Inc.'s careers page and normalized into a canonical job model.