Data Scientist II: ML & Network Analytics for Crimes

Dynamis, Inc.; Vienna (VA); On-site; USD 90,000 - 120,000; Full time

Job summary

Dynamis, Inc. is seeking a Data Scientist II in Vienna, Virginia, to apply machine learning and statistical analysis in combating financial crimes. The ideal candidate will analyze large datasets, develop models, and provide actionable insights to support financial investigations.

This role requires experience in data science, proficiency with machine learning frameworks, and the ability to communicate complex results clearly. Join us in making a significant impact on governmental efforts to fight financial crimes.

Qualifications

• 4–7 years of data science experience (Level II).
• Experience using open-source machine learning frameworks.
• Demonstrated ability to analyze large, noisy datasets.
• Understanding of proper contractor/government interaction protocols.

Responsibilities

• Analyze large, noisy datasets to identify meaningful patterns.
• Build property graphs to perform network analytics.
• Apply statistical analysis to surface relationships and anomalies.
• Develop probabilistic and predictive models for analytic objectives.
• Implement machine learning processes into production software.

Skills

Machine learning frameworks (scikit-learn, TensorFlow)

Statistical analysis

Data analysis (Python, R, MATLAB, Spark)

Probabilistic and predictive modeling

Network analytics

Time management and prioritization

Tools

Big data tools

Job description

Dynamis, Inc. is seeking a Data Scientist II in Vienna, Virginia, to apply machine learning and statistical analysis in combating financial crimes. The ideal candidate will analyze large datasets, develop models, and provide actionable insights to support financial investigations.

This role requires experience in data science, proficiency with machine learning frameworks, and the ability to communicate complex results clearly. Join us in making a significant impact on governmental efforts to fight financial crimes.