Data Analyst - Predictive Modeling
Location: Hybrid Work Model Reporting to Vienna, VA
Pay Rate: Open to Both C2C and W2 options
Position Type: Multiyear Contract

Responsibilities:
• Build and enhance statistical and predictive models for risk-based quantitative analysis.
• Applies scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data.
• Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects.
• Develops proofs of concept or demonstrations to evaluate feasibility of project solutions and recommends visualization strategies.
• Develop communication strategies of concepts and results for multiple levels of management and technical expertise.
• Develop, implement, and maintain analytics systems, taking complicated problems and building simple frameworks.
• Identify trends and opportunities for growth through analysis of complex datasets.
• Evaluate organizational methods and provide source-to-target mappings and information-model specification documents for datasets.
• Create best-practice reports based on data mining, analysis, and visualization.
• Evaluate internal systems for efficiency, problems, and inaccuracies, and develop and maintain protocols for handling, processing, and cleaning data.
• Perform other duties as assigned.

Required Qualifications:
• Master's degree in Computer Science, Mathematics, Physics, Statistics, or a related field.
• Knowledge of mathematics' principles and concepts, and familiarity with other scientific and engineering disciplines to carry out complex statistical analysis processes.
• Technical writing experience in relevant areas, including queries, reports, and presentations.
• Strong SQL and Excel skills, with aptitude for learning other analytics tools.
• Strong understanding of database design, data mining, and data modeling concepts.
• Proven ability to develop effective data visualizations strategies.
• Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management.

Preferred Qualifications:
• Doctorate degree in Computer Science, Mathematics, Physics, Statistics, or related field.
• Advanced skills with SQL, Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code or other languages/frameworks appropriate for statistical analysis.
• Experience working with data visualization applications like PowerBI and Plotly.
• Experience working with Agile principals utilizing Azure DevOps or similar systems.
• Experience working with Cybersecurity Frameworks and related data.

For immediate consideration, please apply directly or contact Ryan Pustilnik at (301) 740-2110.