Job Summary
We are seeking a dynamic and innovative Data Scientist with a specialized focus on Cybersecurity to join our forward-thinking analytics team. In this role, you will leverage advanced machine learning techniques, statistical modeling, and big data systems to identify, analyze, and mitigate cybersecurity threats. Your expertise will drive the development of AI-powered security solutions, enhance threat detection capabilities, and contribute to safeguarding our digital infrastructure. This position offers an exciting opportunity to work at the forefront of cybersecurity analytics, utilizing cutting-edge tools and cloud services to create scalable and impactful security models.
Duties
- Develop and implement machine learning models for real-time threat detection and anomaly identification in large-scale cybersecurity datasets.
- Utilize unsupervised learning techniques to uncover hidden patterns and emerging threats within complex data environments.
- Design and optimize ETL (Extract, Transform, Load) processes to prepare data from diverse sources such as SQL databases, Hadoop, Spark, and cloud platforms like AWS for analysis.
- Collaborate with cross-functional teams to integrate AI models into existing security infrastructure and automate threat response workflows.
- Conduct statistical analysis for research purposes, evaluating model performance through rigorous model training, evaluation, and deployment procedures.
- Apply natural language processing (NLP) techniques to analyze unstructured data such as logs, alerts, or threat intelligence feeds.
- Leverage machine learning frameworks like TensorFlow and Spark implementation for scalable model training and deployment across big data systems.
Skills
- Proficiency in programming languages including Python, R, Java, C, Bash (Unix shell), and VBA for data analysis and model development.
- Extensive experience with machine learning/AI frameworks such as TensorFlow, Spark MLlib, and generative AI tools for predictive modeling analysis.
- Strong knowledge of big data systems including Hadoop, Spark, Talend, and SQL databases for managing large-scale datasets.
- Expertise in cloud-based AI implementation using AWS machine learning cloud services for scalable analytics solutions.
- Skilled in statistical modeling techniques and statistical analysis tools for research and threat assessment purposes.
- Familiarity with database design principles and data mining methodologies to optimize data storage and retrieval processes.
- Experience with natural language processing (NLP), data analytics platforms like Looker, and data visualization tools to communicate insights effectively.
- Understanding of quantum engineering concepts is a plus for advanced cybersecurity applications.
Join us if you’re passionate about harnessing the power of AI and machine learning to revolutionize cybersecurity! Bring your expertise in big data systems, statistical analysis, cloud services, and AI implementation to help protect digital assets worldwide while advancing your career in a fast-paced environment dedicated to innovation.
Pay: From $100,000.00 per year
Benefits:
- Health insurance
- Paid time off
Work Location: In person