Computer Scientist / Cyber Threat Analyst

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.

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.

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.

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).