via ats_greenhouse · 12. Juni 2026 ·vor 2 Tagen

Data Scientist II

Dynamis Inc
Vienna
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<p><span style="font-size: 10pt;">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.</span></p>
<p><span style="text-decoration: underline; font-size: 10pt;"><strong>Responsibilities:</strong></span></p>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Analyze large, noisy datasets to identify meaningful patterns that produce actionable results supporting financial crimes investigations.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Build property graphs from multiple data sources to perform network analytics on individuals, entities, and their support networks.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Apply statistical analysis and correlate disparate data sources to surface relationships and anomalies.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Develop probabilistic and/or predictive models to support analytic objectives.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Implement machine learning processes into production software applications.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Use big data tools and proprietary data to answer mission and business questions.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Present findings in written intelligence products of varying lengths, styles, and formats, and communicate complex technical results in plain language for non-technical audiences.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Participate, in limited cases, in working meetings with FinCEN customers to gather requirements or present findings.</span></li>
</ul>
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<h3><span style="text-decoration: underline; font-size: 10pt;">Requirements:</span></h3>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Top Secret Clearance </span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Bachelor’s degree required</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">U.S. Citizenship</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">4–7 years of data science experience (Level II).</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience using open-source machine learning frameworks such as scikit-learn and TensorFlow to answer business questions using proprietary data.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with statistical analysis and correlating disparate data.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience with probabilistic and/or predictive modeling.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience performing data analysis using scripting languages such as Python, R, MATLAB, and Spark.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience implementing machine learning processes into production software applications.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience using big data tools to answer business questions with proprietary data.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Experience building property graphs from multiple data sources to perform network analytics.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Demonstrated ability to analyze large, noisy datasets and identify meaningful, actionable patterns.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Strong time management, prioritization, and problem-solving skills in a time-constrained environment, with adaptability to changing priorities, formats, and standards.</span></li>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Understanding of proper contractor/government interaction protocols.</span></li>
</ul>
<p><span style="font-size: 10pt;"><strong><span style="text-decoration: underline;">Preferred:</span></strong></span></p>
<ul>
<li style="font-size: 10pt;"><span style="font-size: 10pt;">Prior experience using FinCEN’s data</span></li>
</ul>
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