Data Scientist

Role Overview

AnaVation is seeking a Data Scientist to support one of our cybersecurity programs in our National Capital Region office. The Data Scientist will develop and apply advanced data science capabilities to improve intelligence integration, data discoverability, and mission analytics in support of cyberspace mission requirements.

What You Will Do

Lead data science initiatives addressing complex intelligence integration, data exploitation, and cyberspace mission analytics requirements. Apply advanced statistical analysis, predictive modeling, entity resolution, graph analytics, explainable super intelligence, and operational analytics to identify patterns, relationships, anomalies, and trends across complex datasets.

Why It Might Be a Fit

The successful candidate will lead complex analytical efforts, develop and evaluate advanced algorithms and machine learning models, and collaborate with mission partners, software developers, data engineers, and technical leadership to translate mission requirements into scalable analytical solutions.

Requirements

• Clearance: U.S. Citizen; TS/SCI w/ CI Poly
• Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.
• Certification: DoD 8140/8570 IAT Level II (GSEC, SSCP) or equivalent credential
• 10+ years of experience across data science, advanced analytics, machine learning engineering, quantitative analysis, or related technical disciplines.
• Expert proficiency in Python for data analysis, algorithm development, machine learning, or analytical application development.
• Demonstrated experience applying statistical analysis, machine learning, predictive modeling, or other advanced analytical techniques to complex data and mission or business problems.
• Demonstrated experience developing, evaluating, and refining analytical algorithms, predictive models, or machine learning solutions.
• Demonstrated experience using PyTorch to develop, train, evaluate, or implement machine learning models.
• Demonstrated experience with Neo4j or comparable knowledge graph technologies, including graph data modeling, querying, or graph-based analysis.
• Demonstrated experience developing data science applications, analytical prototypes, or interactive analytical interfaces using Streamlit or equivalent hands-on Streamlit experience.
• Demonstrated experience using Git for version control and JIRA for technical work tracking, collaboration, or project execution.
• Experience working with complex, heterogeneous datasets, including structured and unstructured data, and developing methods to improve data quality, integration, interoperability, or analytical usability.
• Demonstrated understanding of model evaluation, validation, performance measurement, and the limitations of statistical and machine learning approaches.
• Demonstrated ability to translate complex mission requirements into analytical approaches, technical solutions, and measurable outcomes.
• Experience collaborating with multidisciplinary teams, including data scientists, software developers, engineers, analysts, and mission stakeholders, to research, develop, and implement analytical solutions.
• Demonstrated ability to communicate complex analytical findings, technical concepts, and model limitations clearly to technical and nontechnical audiences.
• Demonstrated ability to work independently, exercise sound technical judgment, manage competing priorities, and deliver high-quality analytical products in a fast-paced environment.

Benefits

• Generous cost sharing for medical insurance for the employee and dependents
• 100% company paid dental insurance for employees and dependents
• 100% company paid long-term and short-term disability insurance
• 100% company paid vision insurance for employees and dependents
• 401k plan with generous match and 100% immediate vesting
• Competitive Pay
• Generous paid leave and holiday package
• Tuition and training reimbursement
• Life and AD&D Insurance