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Top Cybersecurity Data Science Jobs
The Expert Data Scientist/Imagery Analyst will support Intelligence customers by leveraging extensive experience in Geospatial Information Systems, analyzing imagery, and producing detailed intelligence reports. Responsibilities include tasking and processing imagery data, collaborating with various organizations, and conducting multi-GEOINT research to support national defense and security missions.
The Senior Manager of Data Science will lead the data-science team to develop a strategic roadmap, implement advanced analytics, and oversee MLOps. Responsibilities include managing team priorities and resources, collaborating with cross-functional teams, and providing insights based on data analyses. A strong background in consumer marketing analytics, leadership experience, and technical skills in SQL, Python, or R are required.
As a Staff Applied ML Scientist, you will develop advanced machine learning algorithms to generate insights from large-scale computer networks, specifically focusing on cybersecurity issues. Your role involves utilizing state-of-the-art machine learning and graph learning techniques, fine-tuning LLMs, and building scalable ML products that enhance security policies for users.
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The Senior Data Scientist will analyze data requirements to support the U.S. Indo-Pacific Command, develop data strategies, utilize visualization tools, and maintain data quality. The role also includes creating algorithms, making business recommendations, and collaborating with various stakeholders to enhance data management and insights.
As a Data Scientist II, you will apply machine learning and data modeling to enhance advanced cybersecurity measures. Responsibilities include leading the development of detection algorithms, analyzing performance, and collaborating with security experts to enhance model effectiveness. You will work with large datasets and prototype complex solutions.
The Senior Data Scientist will support government contracts by leveraging knowledge of intelligence agency structures and data science to analyze, develop algorithms, and collaborate with a multidisciplinary team. The role requires extensive experience in data science and analytics, focusing on innovative problem-solving and software development.
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