Senior Cyber Operations Scientist

Introduction

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MITRE is seeking an experienced Senior Data Scientist who will lead high‑visibility, high‑impact efforts that significantly contribute to the safety and security of the United States. This role will work closely with sponsor staff and regularly engage with senior leaders to understand their priorities and shape work. You will collaborate across the Division, MITRE Labs, and the MITRE Public Sector (MPS).

Major focus areas include criminal network analysis and disruption, digital marketplaces, and transnational criminal organizations and associated activities. Additional responsibilities include cybercrime investigation improvement, cyber‑mission systems engineering and guidance, system‑of‑system engineering, data engineering and analysis, experimentation, communications, and acquisition.

• Develop and implement advanced data models to identify cyber threats, utilizing extensive data sources to analyze adversarial behavior patterns, including Dark Web activity and cryptocurrency transactions.
• Analyze structured and unstructured datasets from diverse sources, integrating insights about threat actors, malware campaigns, and financial movements across underground digital markets.
• Lead the development of Python‑based analytical tools to enhance the collection, transformation, and analysis of complex datasets, optimizing workflows for threat intelligence operations.
• Serve as the go‑to problem solver for challenging issues related to cyber intelligence, with colleagues and team members regularly seeking your expertise to address and resolve hard‑to‑crack problems.
• Perform deep dives into emerging cyber threats, focusing on areas such as blockchain analysis, cryptocurrency tracing, and Dark Web intelligence, providing actionable insights that enhance defensive measures.
• Design, implement, and maintain scalable data infrastructure that supports rapid data analysis and enables advanced querying and data mining in support of cyber threat intelligence objectives.
• Collaborate with cross‑functional teams, including threat analysts, software engineers, and cybersecurity experts, to understand mission requirements, translate them into data science solutions, and deliver timely results.
• Communicate complex findings effectively through reports, dashboards, and presentations tailored for both technical and non‑technical audiences, supporting strategic decision‑making and operations planning.

• Typically requires a minimum of 5 years of related experience with a Bachelor’s degree in data science, computer science, or cyber security; 3 years and a Master’s degree; or a PhD with relevant experience who can immediately contribute at this job step; or an equivalent combination of related education and work experience.
• Demonstrated expertise in Python with hands‑on experience using data science libraries such as Pandas, Num Py, and Scikit‑learn for data analysis and machine learning.
• Proven experience working with large‑scale data stores, such as SQL databases, No
  
  SQL (e.g., Mongo
  
  DB), graph databases (e.g., Neo4J), or big data frameworks (e.g., Hadoop, Spark).
• Solid understanding of cyber threat intelligence concepts, including adversary tactics, techniques, and procedures (TTPs), threat vectors, and actor behaviors.
• Knowledge of blockchain technologies, cryptocurrency trends, and…