Cybersecurity Data Scientist

September 20

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Hunter Strategy

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Software Engineering • Information Security/Cyber Security • Enterprise Architecture • Cloud Engineering • Agile

51 - 200

Description

• Collect, analyze, and interpret large cybersecurity datasets • Develop predictive models to enhance cybersecurity measures • Communicate findings effectively to stakeholders to support strategic cybersecurity and modernization efforts • Apply Natural Language Processing techniques to cybersecurity data • Utilize machine learning algorithms to identify patterns and anomalies in security data • Contribute to the development of data-driven cybersecurity solutions • Collaborate with cross-functional teams to integrate data insights into security operations • Stay current with the latest trends and advancements in data science and cybersecurity

Requirements

• Minimum of three years of experience as a data scientist, with at least one year of experience working with cybersecurity datasets • Strong analytical background and knowledge of Natural Language Processing • Extensive experience with Python and data science libraries including Pandas, NumPy, and TensorFlow • Proficiency in statistical analysis and machine learning techniques • Experience with data visualization tools and techniques • Strong problem-solving and critical thinking abilities • Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders • Familiarity with cybersecurity concepts and common attack vectors • Experience with big data technologies (e.g., Hadoop, Spark) • Knowledge of SQL and database management