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About the Role

We are seeking an experienced Data Scientist to support the Financial Crimes Enforcement Network (FinCEN) in its mission to safeguard the financial system from illicit use, combat money laundering, and counter terrorist financing. This role will focus on cleaning, analyzing, and transforming complex commercial, financial, and regulatory data to derive actionable insights in support of FinCEN’s enforcement and compliance operations. The Data Scientist will design and implement advanced analytical models, utilize machine learning methods, and develop tools to enhance data usability and analysis. As part of a multidisciplinary team, the Data Scientist will collaborate closely with investigators, analysts, and technical staff, applying their expertise to identify patterns, typologies, and anomalies related to illicit financial activity, including money laundering, terrorist financing, proliferation financing, and cybercrime.

Responsibilities

• Extract, clean, transform, and analyze complex, large-scale datasets from various structured and unstructured sources.
• Build and deploy machine learning models and analytic methods to detect patterns and anomalies.
• Utilize anomaly detection methods to identify suspicious activity in financial data sets.
• Apply Natural Language Processing (NLP) techniques using Python libraries like NLTK, Gensim, or scikit-learn to extract insights from unstructured textual data.
• Conduct entity resolution for identifying relationships across business and individual names.
• Create and refine data insights to inform regulatory enforcement actions and compliance efforts.
• Develop high-quality data visualizations using platforms or libraries such as Matplotlib, Seaborn, or Plotly.
• Work closely with Investigative Analysts, Enforcement Support personnel, and FinCEN Program Managers to provide analytical support to cases.
• Assist in assessing illicit activities, including money laundering, terrorist financing, proliferation financing, and similar financial crimes.
• Analyze transactional data to uncover fraudulent behaviors, typologies, and violative activities.
• Ensure all analytical methodologies, workflows, and findings are described clearly, concisely, and repeatably.
• Address and resolve technical challenges in formatting, processing, and analyzing large-scale datasets.
• Apply advanced skills in relational databases to query, structure, and analyze datasets.
• Identify opportunities for workflow automation and efficiency improvements.
• Maintain expertise in key areas including BSA data analysis, financial systems, and data science technologies.

Requirements

• A minimum of ten (10) years of experience in cleaning, transforming, analyzing, and interpreting complex data sets.
• A minimum of ten (10) years of experience in developing analytical methods, models, or tools to deliver actionable insights.
• Bachelor’s degree in fields such as Data Science, Statistics, Computer Science, Mathematics, Economics, or equivalent.
• Active Top Secret clearance
• Python programming and related machine learning or analytics libraries.
• Machine learning methods, including anomaly detection techniques.
• Natural Language Processing (NLP) techniques and Python libraries, such as NLTK, Gensim, or scikit-learn.
• Data visualization libraries such as Matplotlib, Seaborn, or Plotly to present findings effectively.
• Relational databases, such as SQL Server, Oracle SQL, PostgreSQL, or Hive, and advanced querying skills.
• Proficiency with Python, PySpark, object-oriented programming, and best coding practices.
• Entity resolution for identifying relationships between businesses, individuals, and company names using analytical techniques.
• Analyzing and querying large-scale datasets to identify trends, typologies, or actionable results.
• Strong problem-solving, technical troubleshooting, and communication skills.
• Ability to document and present analytical work clearly, concisely, and repeatably.

Skills

• Python
• Machine Learning
• Anomaly Detection
• Natural Language Processing (NLP)
• NLTK
• Gensim
• scikit-learn
• Matplotlib
• Seaborn
• Plotly
• SQL Server
• Oracle SQL
• PostgreSQL
• Hive
• PySpark
• Object-Oriented Programming
• Entity Resolution
• Data Visualization
• Data Analysis
• Data Transformation

Location

• Remote

Work Type

• Full-time
• Contract

Experience Level

• 10+ years

Education Level

• Bachelor's Degree
• Master's Degree

Salary/Compensations

• $150,000 - $175,000 Annually

Benefits

• Health, dental, and vision insurance
• Paid time off and holidays
• Retirement benefits (including 401(k) matching)
• Educational reimbursement
• Parental leave
• Employee stock purchase plan
• Tax-saving options
• Disability and life insurance
• Pet insurance

About the Company

• Amentum anticipates this job requisition will remain open for at least three days, with a closing date no earlier than three days after the original posting. This timeline may change based on business needs.

Equal Opportunity

• Amentum is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, sex, sexual orientation, pregnancy (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, ancestry, United States military or veteran status, color, religion, creed, marital or domestic partner status, medical condition, genetic information, national origin, citizenship status, low-income status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Learn more about your rights under Federal laws and supplemental language at Labor Laws Posters.