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NEXTMOVEFDE careers · United States
Booz Allen

ICAM Data Scientist

AI summary of the role

Data scientist supporting the Department of Veterans Affairs' identity ecosystem (ICAM), building analytics, dashboards, and AI/ML models for identity-data quality, privileged-access anomaly detection, and KPI/AQL reporting across a massive scale (85M+ identities, 900M transactions/month).

What you’ll do

  • Build identity-data quality and reconciliation analytics across MPI, APDS/Saviynt, and AD/Entra ID
  • Develop anomaly-detection and UEBA-style analytics on privileged-session and access logs
  • Evaluate AI-assisted analytics use cases for access-anomaly detection, certification prioritization, and identity-risk scoring
  • Automate tasks and develop ways of working that allow AI agents and automated processes to assist effectively

What you’ll bring

  • 2+ years in data analysis, data engineering, or applied data science with SQL and Python or R
  • Experience building dashboards/reporting tools (Tableau, Power BI, Splunk) against operational or security data
  • Experience with identity, access, or security telemetry (SIEM or IAM/IGA logs)
  • Public Trust clearance eligibility

Technologies

SQL · Python · R · Tableau · Power BI · Splunk · SIEM · IAM/IGA · Saviynt · CyberArk · MPI · AD/Entra ID

About Booz Allen

Builds AI, cyber, cloud, and engineering solutions for U.S. defense, intelligence, and civil agencies, blending consulting scale with mission-specific technology delivery.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

ICAM Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll support the Department of Veterans Affairs’ (VA) identity ecosystem that spans the Master Person Index, including 85M+ unique identities, and 900M transactions per month across 200+ applications, Saviynt/APDS identity governance data, and
More from the job description

ICAM Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll support the Department of Veterans Affairs’ (VA) identity ecosystem that spans the Master Person Index, including 85M+ unique identities, and 900M transactions per month across 200+ applications, Saviynt/APDS identity governance data, and CyberArk privileged access management. You'll help to support one of these areas primarily to support the mission critical ICAM services that support all veterans and entities interacting with VA. As ICAM Data Scientist, you will build the analytics, dashboards, and, where appropriate, AI/ML models that support identity-data quality monitoring, privileged-access anomaly detection, and the ICAM program's KPI and AQL reporting obligations across every task area. You will also assist in working around an [... source excerpt omitted ...] we use data science for good. What You’ll Work On: Build identity-data quality and reconciliation analytics across MPI, APDS/Saviynt, and AD/Entra ID to support data-management requirements to ensure identity integrity and address bulk validation/cleanup requests. Develop anomaly-detection and UEBA-style analytics on privileged-session and access logs feeding the ITDR layer. Evaluate AI-assisted analytics use cases, including access-anomaly detection, certification prioritization, and identity-risk scoring. Leverage AI intelligently to drive efficiency and quality of output. Automate tasks wherever appropriate. Develop and consistently use ways of working which allow Agents a [... source excerpt omitted ...] nts Master's degree in Data Science, Statistics, or Computer Science Vetting: Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client; Public Trust determination is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superio

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