Computer Scientist/Cyber Threat Analyst

The Josef Group; Maryland; On-site; USD 110,000 - 150,000; Full time

Job summary

The Josef Group is seeking a highly skilled Computer Scientist / Cyber Threat Analyst to join our cybersecurity team. This role focuses on analyzing large-scale data with Python and Spark to detect threats and improve defense.

You will work with protocols, develop data pipelines, and communicate findings to technical and non-technical stakeholders, while staying current with evolving cyber threats and best practices.

Qualifications

• Bachelor’s or Master’s degree in CS, cybersecurity, data science, or a related field.
• Proven cyber threat analysis experience.
• Proficient in Python for data manipulation and scripting.
• Strong Spark experience for big data processing.
• Familiar with distributed data environments and network protocols.
• Knowledge of threat intelligence platforms, SIEM, IDS/IPS is a plus.
• Excellent analytical and communication skills.
• Ability to work independently in fast-paced settings.

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.
• 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 stakeholders.

Skills

Python

Data analysis

Threat analysis

Big data

Education

CS degree

Tools

Apache Spark

SIEM tools

IDS/IPS

Job description

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).