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# Financial Investigations Data Scientist (Consultant)

- **Company:** Guidehouse Inc.
- **Location:** McLean, VA, United States
- **Experience:** Experienced
- **Salary:** $74,000.0 - $124,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Network Analysis, Data Visualization, Relational Databases, Fraud Prevention and Detection, Apache Hive, Python (Programming Language), PostgreSQL, Link Analysis, Machine Learning, Microsoft SQL Server, Natural Language Processing, Oracle (Applications), SQL Databases, Unstructured Data, SARS Software Products, Apache Spark, Information Technology, Data Analytics, Data Management
- **Published:** September 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c73ec036e6a0d30a

## About the Role

* An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance.
 * Must be a US Citizen due to nature of client engagements.
 * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Finance, Criminal Justice, Intelligence Studies, or a related field.
 * Minimum of Three(3) years of experience cleaning, transforming, analyzing, and interpreting complex datasets.
 * Experience using Python, SQL, and data analytics libraries to query, manipulate, and analyze data.
 * Experience working with structured and unstructured data in large-scale data environments.
 * Experience with statistical analysis, machine learning, anomaly detection, natural language processing, or related analytical techniques.
 * Experience querying and analyzing data using relational databases and data platforms such as SQL Server, Oracle, PostgreSQL, Hive, Spark, or similar technologies.
 * Experience creating data visualizations, dashboards, reports, or other analytical products.
 * Ability to document analytical methodologies and results in a clear, concise, and repeatable manner.
 * Strong written and verbal communication skills.
 * Willing to work from client site in Washington, DC five(5) days a week.

What Would Be Nice To Have:

 * Experience supporting financial crime, fraud, regulatory, intelligence, or investigative programs.
 * Experience analyzing BSA data, including SARs, CTRs, wire transfers, account activity, or other financial intelligence datasets.
 * Experience performing entity resolution, link analysis, network analysis, or relationship mapping.
 * Experience supporting FinCEN, Treasury, DOJ, DHS, law enforcement, regulatory, or other federal government programs.



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