Data Scientist

Data Scientist 

Qualifications: 

• 8+ years of overall experience 


• 4-5 years of work experience as data scientist with strong knowledge of statistical modeling, machine learning experience using Python and R, hands-on experience with AWS cloud-native services (e.g., S3, RDS, OpenSearch, Lambda) and a working knowledge of Bank Secrecy Act (BSA) data. 

Data Scientist should be able to: 

• Design, develop and deploy machine learning models and statistical algorithms to detect financial crime patterns (e.g., structuring, layering, smurfing) using BSA/AML transaction data. 


• Perform exploratory data analysis, feature engineering and model validation using Python/Jupyter Notebook, PySpark, Pandas and R. 


• Demonstrate experience with SQL for complex querying and analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, OpenSearch instance. 


• Collaborate closely with compliance analysts and investigators to translate regulatory and investigate requirements into data analyses and analytical models. 


• Produce visualizations and written findings for both technical and non-technical stakeholders, as needed. 


• 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. 

You are required: 

• Bachelor's degree in engineering, Data Science, Statistics, Mathematics, Computer Science or a related quantitative field. 


• All work is onsite at a location in Washington, DC, 5 days a week; no telework or remote option. 


• Must possess a Top Secret with eligibility for access to Sensitive Compartmented Information (SCI).  Interim clearances of any type will not be accepted. 


• U.S. Citizenship required; no dual citizenship.