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Part Time Anomaly Detection Jobs (NOW HIRING)

ICAM Data Scientist

Mclean, VA · On-site +1

$77K - $176K/yr

Develop anomaly-detection and UEBA-style analytics on privileged-session and access logs feeding ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... checks and anomaly detection models. You will also design and refine workflows that enable ...

... Type: Part-time / Contract Location: US, UK, Canada, France, Portugal (remote) We are seeking a ... You will evaluate, implement, and optimize AI-powered reconciliation tools, anomaly detection ...

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Part Time Anomaly Detection information

What is the difference between Part Time Anomaly Detection vs Part Time Data Analyst?

AspectPart Time Anomaly DetectionPart Time Data Analyst
Required CredentialsBasic knowledge of data analysis, certifications in data science or related fields helpfulDegree in statistics, data analysis, or related field; certifications like Microsoft Excel or Tableau beneficial
Work EnvironmentTech-focused, often in cybersecurity, finance, or IT sectorsBusiness, marketing, finance, or healthcare settings
Employer & Industry UsageUsed by cybersecurity firms, finance companies, and tech organizations to detect anomaliesUsed across various industries for interpreting data trends and reporting

While both roles involve data analysis skills, Part Time Anomaly Detection focuses on identifying unusual patterns or anomalies in data sets, often in cybersecurity or finance contexts. Part Time Data Analysts interpret data trends to support business decisions. The roles differ mainly in their focus: anomaly detection emphasizes security and fraud prevention, whereas data analysis centers on insights and reporting.

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Infographic showing various Part Time Anomaly Detection job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.

ICAM Data Scientist

Mclean, VA • On-site, Remote

Booz Allen Hamilton, Inc.
IT Services • 10K+ employees

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 3 days ago

New


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz


Job description


Remote Work:
Hybrid
Job Number:
R0248916
Location:
McLean,VA,US
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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 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.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
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.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914