Data Scientist Level 4

Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation's most critical missions.

At Markon, we don't just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.

Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.

Markon values people and the tremendous impact each individual can make - which is why we're consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation's most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients' missions.

Join us and make a meaningful impact.

Markon is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status. This job posting will remain open until the position is filled.

Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

Markon is seeking a Data Scientist to support the Fort Meade Customer by designing and implementing advanced AI/ML and data science solutions across multiple mission domains . The position requires architecting Agentic AI systems and customized Retrieval-Augmented Generation (RAG) solutions, while also optimizing machine learning models for resource-constrained edge environments. This role requires deep technical judgment to select, evaluate, and implement the most effective AI/ML approaches for mission-specific performance and scalability needs.

Design, develop, and implement sophisticated AI/ML and data science solutions supporting mission requirements across multiple domains.
• Architect and deploy Agentic AI systems, including customized RAG pipelines tailored to operational use cases.
• Evaluate, select, and implement machine learning models optimized for specific mission objectives and performance constraints.
• Generate, train, evaluate, and optimize ML models for deployment in low-memory, low-resource edge device environments.
• Apply advanced techniques to improve model efficiency, accuracy, and inference performance under constrained conditions.
• Assess emerging AI technologies and recommend best-fit solutions aligned with mission needs.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems and workflows.
• Provide technical leadership and guidance on AI/ML architecture, implementation, and optimization.

Required

• TS/SCI with Active Polygraph with this Customer.
• Bachelor's degree in a technical discipline plus 15 years of relevant experience.
• Demonstrated experience as a senior-level AI/ML expert delivering complex AI solutions in operational environments.
• Proven experience designing and implementing Agentic AI and Retrieval-Augmented Generation (RAG) systems.
• Deep understanding of machine learning architectures, model selection, training, and optimization techniques.
• Hands-on experience developing and deploying ML models in resource-constrained edge environments.
• Strong background in AI/ML performance optimization, including model compression, quantization, or similar techniques.
• Ability to evaluate AI solutions and apply sound technical judgment to meet mission and performance requirements.
• Strong communication skills to explain complex AI concepts to technical and non-technical stakeholders.