Data Scientist

STEM Solutions • Washington, DC

10d • Onsite

About The Position

We are seeking a Data Scientist with a strong background in statistical modeling and machine learning to join our team. The role involves designing, developing, and deploying machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data. You will work with large-scale datasets, perform exploratory data analysis, feature engineering, and model validation. Collaboration with compliance analysts and investigators is key, as is the ability to communicate findings to diverse stakeholders. This position requires a commitment to maintaining documentation and contributing to best practices in data science workflows.

Requirements

• 8+ years of overall experience
• 4-5 years of work experience as data scientist
• 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)
• Working knowledge of Bank Secrecy Act (BSA) data
• Experience with SQL for complex querying
• Ability to analyze large-scale structured and unstructured datasets stored in AWS S3, PostgreSQL RDS, OpenSearch instance
• Bachelor's degree in engineering, Data Science, Statistics, Mathematics, Computer Science or a related quantitative field.
• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior