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The Data Scientist will design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns using BSA/AML transaction data. They will collaborate with compliance analysts and investigators to translate regulatory requirements into actionable analytical findings.
Candidates must possess a bachelor's degree in a quantitative field and 4-5 years of experience in data science with proficiency in Python and R. An active Top Secret clearance with SCI eligibility is mandatory for this role.
Dynamis is seeking a Data Scientist to support FinCEN’s Global Investigations Division (GID). The practitioner will design, develop, and deploy machine learning models and statistical algorithms to detect financial crime patterns, such as structuring, layering, and smurfing, using BSA/AML transaction data. The role requires a strong understanding of statistical modeling and machine learning using Python and R, hands-on experience with AWS cloud-native services (S3, RDS, OpenSearch, Lambda), and working knowledge of Bank Secrecy Act (BSA) data, working in close collaboration with compliance analysts and investigators to turn regulatory and investigative requirements into analytical models and actionable findings.
1801 L Street NW, Washington, DC 20036. Position requires the ability to work on-site as required by FinCEN. Candidate must possess an active Top Secret clearance with eligibility for access to Sensitive Compartmented Information (SCI).
Responsibilities:
Preferred:
Salary range: $90,000-130,000
The salary range for this position represents the anticipated hiring range. Actual compensation will be determined based on factors such as relevant experience, skills, education, certifications, and potential contract funding.
Looking Upward, Moving Forward.
Welcome to Dynamis Inc, a petroleum and environmental services company. Our motto is “Looking Up, Moving Forward”. We continue to look upwards for guidance in company operation and move forward with innovative solutions for clients. Our company has been built by primarily serving customers who store, transport and sell fuel. These customers include Travel Center and Convenience Store Operators, Bulk Oil Marketers, Trucking Companies, Marinas , Government Agencies, Industrial Clients, and Municipalities. We provide subcontracting services to other General Contractors, Petroleum and Industrial Equipment Distributors, Engineering and Consulting Firms. We believe the manner in which we conduct ourselves in business is a reflection of our character. More than anything else we strive to be people who are honest and dependable. Intelligent people with strong work ethics are a powerful combination. Our Field Staff is led by three Project Managers with a career average experience of over 20 years each. Our Consulting Staff consists of degreed professionals with concentrations in Engineering and Environmental fields. We realize that in today’s economy, price is a critical consideration to every customer we serve. Being a small company ourselves, we know how important it is to stretch every dollar. However, we know that low cost alone is not enough. Our high quality of work insures that our customers receive the most they can get for their money.
Offices: 3707 Henson Rd., Knoxville, TN 37921, US · P.O. Box 50636, Knoxville, TN 37950, US
Based on 1635 listings with disclosed salaries, most data & analytics jobs in Washington, DC pay between $77k–$200k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 2,157 open data & analytics positions in Washington, DC listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include Booz Allen Hamilton, The World Bank Group, CACI International Inc, Amentum, Accenture Federal Services, among others. Browse the listings above to see every active employer.
Yes — 1052 of the 2157 open data & analytics positions offer remote or hybrid work (357 remote, 695 hybrid).
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.
