Data Scientist, Financial Crime (TS/SCI)

Dynamis; Washington (District of Columbia); On-site; USD 90,000 - 130,000; Full time

Job summary

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division. You will design, develop, and deploy ML models and statistical algorithms to detect financial crime patterns in BSA/AML data, using Python, R, and AWS services.

Collaboration with compliance analysts is essential to translate regulatory needs into actionable analyses. The role requires a Top Secret/SCI eligibility and on-site work at Washington, DC, with a strong emphasis on data quality, reproducible

Qualifications

• U.S. Citizenship required.
• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field.
• 5+ years of work experience as a data scientist with strong knowledge of statistical modeling and machine learning using Python and R.
• Active Top-Secret clearance with eligibility for SCI.
• Hands-on experience with AWS cloud-native services (S3, RDS, OpenSearch, Lambda).
• Working knowledge of Bank Secrecy Act (BSA) data and strong SQL skills.

Responsibilities

• Design, develop, and deploy machine learning models and statistical algorithms using Python and R.
• Perform exploratory data analysis, feature engineering, and model validation.
• Use SQL for complex querying across large datasets in AWS services.
• Collaborate with compliance analysts and investigators to translate requirements into analyses.
• Produce visualizations and written findings for technical and non-technical stakeholders.
• Maintain documentation for data pipelines, model logic, and findings.

Skills

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Stakeholder communication

Education

Bachelor's degree in Data Science or related field

Tools

AWS

OpenSearch

PostgreSQL

S3

Lambda

Jupyter Notebook

PySpark

Pandas

NumPy

Scikit-Learn

Job description

Dynamis is seeking a Data Scientist to support FinCEN's Global Investigations Division. You will design, develop, and deploy ML models and statistical algorithms to detect financial crime patterns in BSA/AML data, using Python, R, and AWS services.

Collaboration with compliance analysts is essential to translate regulatory needs into actionable analyses. The role requires a Top Secret/SCI eligibility and on-site work at Washington, DC, with a strong emphasis on data quality, reproducible