Data Scientist

Be Challenged and Make a Difference

In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.

Required Qualifications

• 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
• Location: Full time on-site at Annapolis Junction, Maryland.
• Experience and knowledge:
• 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.

Preferred Qualifications

• Clearance: Active TS/SCI w/ CI Poly.
• Education: Advanced degree in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Super Intelligence/Machine Learning or a related field, or equivalent relevant experience.
• Certification: Relevant cloud, machine learning, data engineering, or Artificial Intelligence (AI) certifications. Additional relevant technical certifications supporting data science, analytics, cloud computing, or secure technology environments.
• Experience and knowledge:
• Experience supporting Combatant Commands, Joint Staff, Service cyber components, Joint Forces Headquarters,

Intelligence Community organizations, or other Defense Intelligence Enterprise mission partners.

• Experience deploying production-ready machine learning models or analytical applications in coordination with software engineering, data engineering, or platform teams.
• Familiarity with Docker, Kubernetes, containerized applications, and scalable model deployment architectures.
• Experience with cloud-based data science and SI services, including Amazon Web Services (AWS), Amazon

Bedrock, and Amazon S3

• Experience applying large language models (LLMs), multimodal SI, or other advanced SI techniques to data analysis, information extraction, data discovery, or intelligence integration problems.
• Familiarity with Llama or comparable open-weight language models and their application in controlled or mission-specific environments.
• Familiarity with JavaScript and complementary technologies used to develop or integrate interactive analytical applications.
• Experience working with large-scale, distributed, classified, or otherwise controlled data 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