Data Scientist with Security Clearance

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.