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 and migrating from legacy ICAM systems which are highly complex and massively scaled.

Work with us as 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 and automated processes to effectively assist.

Join us. The world can’t wait.

You Have:   

• 2+ years of experience in data analysis, data engineering, or applied data science, including SQL and Python or R

• Experience building dashboards or reporting tools such as Tableau, Power BI, or Splunk against operational or security data sets

• Experience working with identity, access, or security telemetry such as SIEM or IAM/IGA logs

• Public Trust

• Bachelor's degree in Data Science, Computer Science, or Statistics

Nice If You Have:   

• Experience with the VA's MPI and Electronic Health Record (EHR)

• Experience applying machine learning to identity or access anomaly detection, UEBA, or fraud or risk scoring

• Experience with Saviynt, CyberArk, or similar data models and reporting APIs

• Experience with AI or LLM-assisted analytics workflows and AI-identity governance concepts

• Experience using AI agents to build things, not just as chat assistants

• 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 superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.