Computer / Data Scientist

Overview

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.

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

Description

The Computer / Data Scientist will support the design, development, maintenance, and implementation of advanced artificial intelligence (AI) solutions within the Reactor Servicing Directorate. This position focuses on applying retrieval-augmented generation (RAG) and large language models (LLMs) to enhance information retrieval and enable the creation of detailed safety documents and operational procedures. The work builds upon an already established computational model that serves as the foundation for further AI integration and expansion. This position offers the opportunity to contribute to the next generation of intelligent systems supporting reactor servicing operations. The successful candidate will advance AI and data science integration to improve safety, efficiency, and knowledge management within mission-critical engineering environments.

Responsibilities

• Design, develop, and maintain AI and data-driven systems to support safety documentation and operational procedure generation using existing reactor servicing data.
• Implement retrieval-augmented generation (RAG) techniques and integrate large language models (LLMs) for intelligent data extraction, synthesis, and knowledge generation.
• Develop, test, and deploy scalable applications aligned with existing computational models.
• Design and build interactive visualization interfaces using Plotly Dash for data analysis and operational insights.
• Write, optimize, and maintain efficient Python code for AI workflows and automation.
• Package, containerize, and deploy large-scale AI and data science applications for production use.
• Collaborate with multidisciplinary engineering and IT teams to ensure AI tools meet performance, reliability, and compliance requirements.

Qualifications

Large Language Models (LLMs)

Desired :

Pay Scale :

Salary Range

USD $120,000.00 - USD $145,000.00 / Yr.

The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.