Join the Frontlines of Innovation! We're looking for a forward-thinking Systems Engineer with a passion for data science, machine learning, and advanced analytics. This role is ideal for someone who thrives at the intersection of complex systems engineering and cutting-edge data processing techniques-including extracting insight from some of the most challenging data sources out there. What You'll Do:
Design and manage systems-of-systems architectures, integrating multiple domains and disciplines.
Apply natural language processing (NLP) and machine learning (ML) to solve mission-critical challenges.
Extract and process data from unstructured/semi-structured sources, such as PDFs, CONOPS, and DODAF artifacts.
Leverage qualitative analytical methods and create meaningful data visualizations that drive decision-making.
Collaborate across disciplines to translate complex data into actionable intelligence.
Work hands-on with technical tools that push the boundaries of automation, analytics, and scalable systems. You'll Excel If You Have:
Experience in systems engineering, especially for complex, multi-domain systems.
Strong background in data science, including NLP and ML techniques.
Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner.
Proficiency in Python and/or R, with hands-on experience using TensorFlow, PyTorch, or similar frameworks.
Ability to produce visualizations and qualitative analysis that clearly communicate technical insights.
Comfort working with both structured and unstructured datasets in high-stakes environments. Bonus Points For:
Experience integrating data into DODAF or other architecture frameworks.
Familiarity with defense or intelligence community workflows and mission challenges.
Exposure to data pipelines, automation frameworks, or cloud-based analytics platforms. Why You Should Apply:
Mission Impact: Your work directly supports national security and strategic operations.
Cutting-Edge Tech: Dive into real-world applications of AI/ML in complex engineering environments.
Dynamic Team: Collaborate with experts across disciplines in a fast-paced, problem-solving culture.
Growth Opportunities: Be part of a forward-leaning team committed to innovation and career development. This isn't just another engineering job-this is your chance to solve hard problems with smart people and meaningful technology
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