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# Data Scientist

- **Company:** Blu Omega
- **Location:** Washington, DC, United States
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Validation, Data Cleansing, Data Mapping, Data Mining, R (Programming Language), Python (Programming Language), Link Analysis, Regression Analysis, NumPy, Search Technologies, Transaction Data, Jupyter Notebook, SARS Software Products, Social Network Analysis, Pandas, Scikit Learn
- **Published:** August 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9103912/data-scientist

## About the Role

* Experience working with large-scale financial data environments, including transactional data from SWIFT, CHIPS, and book transfer systems.
 * Knowledge of Bank Secrecy Act data, including SARs, CTRs, and Form 8300 filings.
 * Proficiency with Python, Jupyter Notebook, R, NumPy, pandas, and scikit-learn.
 * Strong foundation in statistical methods and data analysis techniques.
 * Ability to analyze large datasets to identify trends and patterns and deliver actionable insights., * Experience in data mapping, cleansing, and data validation.
 * Understanding of international bank wire transfer formats, including SWIFT, CHIPS, and book transfer systems.
 * Experience communicating analytical results to senior leaders and stakeholders.
 * Ability to work effectively in a team environment and manage multiple priorities.

## Description

Blu Omega is seeking a Data Scientist to support a federal program focused on financial data analysis. This role operates within a government environment and is responsible for processing, analyzing, and visualizing complex financial datasets to support mission objectives. The position requires experience working with large-scale data environments, particularly those involving financial transactions and mission-critical information., * Retrieve, process, and analyze financial data sets, including Bank Secrecy Act data and related transaction information.

 * Perform entity resolution and data cleansing to ensure data quality and integrity across large datasets.
 * Develop and implement analytical models and algorithms using quantitative techniques such as statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining.
 * Use agency tools and platforms to query, filter, and visualize data using search capabilities like BSA Search and Transaction Grid Search.
 * Create custom datasets, queries, and code to support analytical workflows and reporting needs.
 * Communicate project progress, analytical findings, and recommendations clearly to senior management and stakeholders.


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