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About the Role

Dynamis is seeking a Data Scientist to support FinCEN’s Global Investigations Division (GID). The practitioner will design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data. This role requires a strong understanding of statistical modeling and machine learning using Python and R, hands-on experience with AWS cloud-native services, and working knowledge of Bank Secrecy Act (BSA) data, collaborating with compliance analysts and investigators.

Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data
• Perform exploratory data analysis, feature engineering, and model validation using Python, Jupyter Notebook, PySpark, Pandas, and R
• Use SQL for complex querying and analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, and OpenSearch
• Work with large data environments storing financial transactions or other critical data, including performing entity resolution across large datasets
• Understand the structure of bank wire transfer data, including international formats from message systems such as SWIFT, CHIPS, and book transfer systems, as well as BSA-derived data such as SARs, CTRs, and 8300s
• Ensure data quality and integrity through data mapping, cleaning, and validation processes
• Apply quantitative and qualitative analysis techniques, statistical sampling, regression analysis, link analysis, geospatial analysis, social network analysis, and data mining, to financial data
• Collaborate closely with compliance analysts and investigators to translate regulatory and investigative requirements into data analyses and analytical models
• Produce visualizations and written findings for both technical and non-technical stakeholders
• Communicate project progress, support needs, and analytical output to senior management, clearly conveying the “so what” and “why this matters” as it relates to GID’s mission
• Maintain documentation for data pipelines, model logic, and analytical findings in accordance with agency or organizational standards
• Participate in peer code reviews and contribute to best practices for reproducible data science workflows

Requirements

• U.S. Citizenship
• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field
• 4–5 years of work experience as a data scientist with strong knowledge of statistical modeling and machine learning experience using Python and R
• Active Top-Secret clearance with eligibility for access to Sensitive Compartmented Information (SCI)
• Hands-on experience with AWS cloud-native services (e.g., S3, RDS, OpenSearch, Lambda)
• Working knowledge of Bank Secrecy Act (BSA) data
• Demonstrated experience with SQL for complex querying and analysis of large-scale structured and unstructured datasets

Skills

• Statistical modeling
• Machine learning
• Python
• R
• AWS cloud-native services (S3, RDS, OpenSearch, Lambda)
• Bank Secrecy Act (BSA) data
• SQL
• Jupyter Notebook
• PySpark
• Pandas
• NumPy
• Scikit-Learn

Location

• 1801 L Street NW, Washington, DC 20036

Work Type

• On-site

Experience Level

• 4-5 years

Education Level

• Bachelor's degree

Salary/Compensations

• $90,000-130,000

About the Company

• Dynamis is seeking a Data Scientist to support FinCEN’s Global Investigations Division (GID).