Data Scientist, Financial Crime Analytics (TS/SCI)

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

Job summary

Dynamis, Inc. seeks a Data Scientist to support FinCEN’s Global Investigations Division (GID). The practitioner will design, develop, and deploy ML models and statistical algorithms to detect financial crime patterns in BSA/AML data, using Python and R, and AWS cloud services.

The role requires an active Top Secret clearance with SCI eligibility and on-site work at 1801 L Street NW, Washington, DC. You will collaborate with compliance analysts and investigators to translate regulatory goals into

Qualifications

• Bachelor’s degree in a quantitative field.
• 4–5 years of data science experience with ML in Python and R.
• Active Top Secret clearance with SCI eligibility.
• Hands-on experience with AWS cloud services (S3, RDS, OpenSearch, Lambda).
• Working knowledge of Bank Secrecy Act (BSA) data.

Responsibilities

• Design, develop, and deploy ML models and algorithms to detect financial crime patterns using BSA/AML data.
• Perform exploratory data analysis, feature engineering, and model validation with Python, Jupyter Notebook, PySpark, Pandas, and R.
• Use SQL for complex querying and analyze large-scale datasets stored in AWS S3, PostgreSQL RDS, and OpenSearch.
• Collaborate with compliance analysts and investigators to translate requirements into analyses and models.
• Produce visualizations and written findings for technical and non‑technical stakeholders.

Skills

Statistical modeling

Machine Learning

Python

R

SQL

AWS

Data visualization

Jupyter Notebook

Data wrangling

stakeholder communication

Education

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related quantitative field

Tools

AWS S3

AWS RDS

OpenSearch

Lambda

PySpark

Pandas

NumPy

SQL querying

Jupyter Notebook

Job description

Dynamis, Inc. seeks a Data Scientist to support FinCEN’s Global Investigations Division (GID). The practitioner will design, develop, and deploy ML models and statistical algorithms to detect financial crime patterns in BSA/AML data, using Python and R, and AWS cloud services.

The role requires an active Top Secret clearance with SCI eligibility and on-site work at 1801 L Street NW, Washington, DC. You will collaborate with compliance analysts and investigators to translate regulatory goals into