Data Scientist II

Job description

Dynamis is seeking a Data Scientist II to apply machine learning, statistical analysis, and network analytics to BSA data and other Government-provided data sources in support of FinCEN's efforts to combat financial crimes—including terrorist financing, proliferation financing, cyber-crime, and complex money laundering. Backed by Dynamis's deep bench of financial intelligence and data science expertise, the Data Scientist II transforms large, disparate datasets into actionable results and clear, decision-ready intelligence products that support FinCEN's policy, law enforcement, regulatory, and other customers, working under the technical direction of FinCEN Program Managers. **Responsibilities:** - Analyze large, noisy datasets to identify meaningful patterns that produce actionable results supporting financial crimes investigations. - Build property graphs from multiple data sources to perform network analytics on individuals, entities, and their support networks. - Apply statistical analysis and correlate disparate data sources to surface relationships and anomalies. - Develop probabilistic and/or predictive models to support analytic objectives. - Implement machine learning processes into production software applications. - Use big data tools and proprietary data to answer mission and business questions. - Present findings in written intelligence products of varying lengths, styles, and formats, and communicate complex technical results in plain language for non-technical audiences. - Participate, in limited cases, in working meetings with FinCEN customers to gather requirements or present findings. ### Requirements: - Top Secret Clearance - Bachelor’s degree required - U.S. Citizenship - 4–7 years of data science experience (Level II). - Experience using open-source machine learning frameworks such as scikit-learn and TensorFlow to answer business questions using proprietary data. - Experience with statistical analysis and correlating disparate data. - Experience with probabilistic and/or predictive modeling. - Experience performing data analysis using scripting languages such as Python, R, MATLAB, and Spark. - Experience implementing machine learning processes into production software applications. - Experience using big data tools to answer business questions with proprietary data. - Experience building property graphs from multiple data sources to perform network analytics. - Demonstrated ability to analyze large, noisy datasets and identify meaningful, actionable patterns. - Strong time management, prioritization, and problem-solving skills in a time-constrained environment, with adaptability to changing priorities, formats, and standards. - Understanding of proper contractor/government interaction protocols. **Preferred:** - Prior experience using FinCEN’s data **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.*