Top Tech Jobs & Startup Jobs

Develops and implements data science, machine learning, statistical, and analytical methods for large NSA/CSS datasets. Responsibilities include data processing, modeling, inference, prediction, data management, visualization, workflow reproducibility, and communicating technical findings. The role translates mission needs into technical requirements, evaluates competing solutions, and makes recommendations. Requires Python proficiency, AI/ML expertise, deep learning experience, relevant education and experience, and an active TS/SCI clearance with polygraph.

Designs, develops, delivers, and operates cryptologic computer science solutions supporting forensics, attack attribution, critical-network protection, active-system warning, penetration, and knowledge discovery. The role emphasizes Python and Jupyter Notebook automation, SIGDEV, CNE, access discovery and enablement, and cryptologic mission support. Candidates must hold an active TS/SCI clearance with polygraph and meet degree and relevant computer science experience requirements.

Designs, develops, delivers, and operates cryptologic computer science solutions supporting forensics, attack attribution, network protection, active-system warnings, and mission analysis. Applies advanced computer science, mathematical modeling, algorithm, reverse-engineering, and systems expertise. Uses Python and Spark/PySpark with strong network and protocol analysis skills to address complex cybersecurity and national security challenges.

Perform technical analysis of malicious binaries through static analysis and controlled execution. Determine malware functionality, capabilities, callbacks, adversary infrastructure, and indicators of compromise while overcoming anti-analysis techniques. Document findings to support malware detection, signature creation, attribution, and mitigation. Requires substantial relevant experience, a qualifying computer-related degree, potential information assurance certifications, and an active TS/SCI clearance with polygraph.

Develop NLP solutions for automatic language-data tokenization and part-of-speech annotation. Evaluate model performance against human annotations for speech and text, implement machine-learning and statistical methods, manage and assess large datasets, translate mission needs into technical requirements, communicate analytical findings, and recommend technical solutions. Requires substantial data science experience and an active TS/SCI clearance with polygraph.

Designs, develops, delivers, and operates solutions to complex cryptologic computer science and cyber threat analysis problems. Responsibilities include forensics, attack attribution, network and protocol analysis, anomaly and intrusion analysis, critical network protection, active system warning, knowledge discovery, and large-scale data processing using Python and Spark. Applies advanced computer science, mathematical modeling, algorithm analysis, reverse engineering, and systems engineering techniques in support of national security missions.

Develops and refines machine learning, statistical, mathematical, and advanced analytical algorithms. Manages Big Data Platform activities, supports programming, data modeling, data management, visualization, analytics, workflow reproducibility, and data curation across one or more mission domains. The role requires an advanced quantitative or computer science degree, substantial relevant experience, and an active TS/SCI with polygraph clearance.

Perform technical analysis of malicious binaries to determine functionality and indicators of compromise. Support malware detection and mitigation efforts through detailed reverse engineering and threat analysis. The role requires an active TS/SCI with Polygraph, substantial relevant experience, a qualifying computer-related degree, and CISSP, GIAC GREM, or CREA certification.

Develop and maintain containerized microservices for space domain awareness and flight safety systems in an AWS-based architecture. Responsibilities include software design, development, testing, performance analysis, CI/CD delivery, systems engineering support, observation scoring, truth-data generation, data fusion, and RSO database workflows. The role requires collaboration in an agile environment and support for system modernization and operations and maintenance.

The Data Scientist will support national security projects by developing and maintaining bulk data pipelines, processing structured and unstructured data, performing ETL and data quality analysis, and creating reports and dashboards. Responsibilities include using Spark, PySpark, Python, SQL, cloud services, and log-processing tools; documenting ETL designs; collaborating with customers and integration partners; and supporting Agile development. Preferred experience includes Databricks, Elastic MapReduce, Spark optimization, AWS services, and the ELK stack.