Data Science Professional
6 days ago
Embark on a journey to design and implement innovative cyber security solutions that meet business requirements and industry needs. As a seasoned data scientist, you will analyze large datasets to identify patterns and anomalies indicative of cyber threats.
- Key Responsibilities:
- Data Analysis and Threat Detection: Utilize user behavior analytics and other methods to analyze large datasets from internet traffic, logs, and other sources to detect potential threats.
- Model Development: Develop, evaluate, tune, deploy, and maintain production-grade machine learning models for intrusion detection, malware analysis, fraud detection, and user behavior anomaly detection.
- Collaboration and Communication: Work with cybersecurity teams and stakeholders to integrate data science models and communicate findings to technical and non-technical audiences.
- Continuous Improvement: Contribute to the ongoing improvement of cybersecurity strategies by leveraging data science approaches and staying updated on the latest trends.
- Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, or related quantitative field.
- At least 3 years of experience working in a data science position, preferably in cyber security, with expertise in security logs/network data.
- Proficiency in probability and statistical modeling, including machine learning, experimental design, evaluation, and optimization.
- Strong skills in programming languages such as Python, Spark, Java, Scala, and SQL.
- Able to perform rapid prototyping and proof of concept using visualization and dashboarding tools.
- Previous knowledge or interest in the Cyber Security domain is advantageous.
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