About the Role:

We are seeking a highly skilled Computer Scientist / Cyber Threat Analyst with strong experience in Python and Apache Spark to join our cybersecurity team. The ideal candidate will have a solid background in analyzing large-scale data sets, performing network protocol analysis, and applying advanced analytical techniques to identify and mitigate cyber threats. This role requires a deep understanding of cyber threat landscapes, data-driven threat detection, and the ability to work with complex, high-volume data environments.

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Key Responsibilities:

• Analyze large-scale network and security data sets to detect anomalies, threats, and malicious activities.

• Develop, maintain, and optimize data processing pipelines using Python and Apache Spark for efficient threat analysis.

• Conduct protocol analysis across various network protocols to identify suspicious behavior and vulnerabilities.

• Collaborate with cybersecurity teams to provide actionable intelligence and recommendations for threat mitigation.

• Design and implement algorithms and models for automated threat detection and predictive analysis.

• Investigate cyber incidents, perform root cause analysis, and support incident response efforts.

• Stay current with emerging threats, vulnerabilities, and security technologies to continuously enhance detection capabilities.

• Document findings, prepare reports, and communicate complex technical information to both technical and non-technical stakeholders.

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Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Data Science, or a related field.

• Proven experience in cyber threat analysis, network protocol analysis, or related cybersecurity roles.

• Proficiency in Python programming, including data manipulation and scripting.

• Strong experience with Apache Spark or similar big data processing frameworks.

• Familiarity with large-scale data environments and distributed data processing.

• Knowledge of network protocols (TCP/IP, HTTP, DNS, etc.) and ability to analyze protocol-level data.

• Experience with threat intelligence platforms, SIEM tools, or IDS/IPS systems is a plus.

• Strong analytical, problem-solving, and communication skills.

• Ability to work independently and collaboratively in a fast-paced environment.

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Preferred Skills:

• Experience with machine learning techniques applied to cybersecurity data.

• Knowledge of cloud environments and security monitoring tools.

• Familiarity with malware analysis or reverse engineering.

• Understanding of compliance frameworks and cybersecurity standards (e.g., NIST, MITRE ATT&CK).