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Data Scientist, Cybersecurity

Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics., Strong foundation in data science and machine learning., Proficiency in Python, R, or similar programming languages., Experience using Linux for data science triage..

Key responsabilities:

  • Classify and analyze different types of malware.
  • Identify patterns in malware data using machine learning.

CodeHunter logo
CodeHunter Computer Hardware & Networking Startup https://www.codehunter.io/
11 - 50 Employees
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Job description

CodeHunter is a leading innovator in cybersecurity solutions, dedicated to protecting organizations from evolving cyber threats. We are seeking a talented Data Scientist to join our cybersecurity team. While prior experience in malware analysis is not required, a keen interest in cybersecurity and a willingness to learn about malware is essential. This role involves applying data science techniques to analyze malware, understand malware behaviors, and enhance our detection and prevention strategies.

Key Responsibilities: 

1. Malware Type and Family Analysis: 

  • Apply data science methodologies to classify and analyze different types of malware. 
  • Develop models to understand how malware components may be assembled into campaigns. 
  • Investigate the variance in malware samples within a single family. 
  • Study the evolution of malware families from initial discovery to extinction. 
  • Explore gaps between Endpoint Detection and Response (EDR) capabilities and off-line analysis to improve malware detection and response. 

3. Malware-Attribute Analysis: 

  • Measure complexity, entropy, and other relevant attributes of malware using data science techniques. 
  • Perform differential analysis between malware samples to identify unique characteristics. 
  • Enhance techniques for detecting packed or obfuscated malware. 

4. AI/ML-related Tasks: 

  • Identify patterns and correlations in malware data using machine learning algorithms. 
  • Evaluate the effectiveness of different classification methods in predicting the behaviors that types or families of malware may exhibit. 
  • Determine which malware attributes are valuable for training large language models (LLMs) and machine learning (ML) algorithms. 

Requirements

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Mathematics, or relevant industry experience. 
  • Strong foundation in data science and machine learning. 
  • Proficiency in programming languages such as Python, R, or similar and familiarity with frameworks such as numpy, scikit-learn, PyTorch, etc. 
  • Excellent analytical and problem-solving skills. 
  • Eagerness to learn about malware and cybersecurity. 
  • Experience using Linux and built-in Linux tools for data science triage.

Preferred Skills: 

  • Experience with large language models and their application in data analysis. 
  • Familiarity with cybersecurity concepts and static and dynamic analysis tools. 
  • Strong communication skills to convey complex technical concepts to non-technical stakeholders. 


Benefits

CodeHunter offers a creative, team-oriented, and entrepreneurial work environment. Self-starters thrive here. Our employees have the chance to be a part of the organization from the ground level and make a demonstrable impact by bringing an innovative product to the cybersecurity marketplace. CodeHunter offers best-in-class benefits, including:

  • 401K
  • Health coverage
  • Vision and dental coverage
  • Company-sponsored training
  • Parking or metro benefits
  • Catered lunches
  • Generous PTO policy

CodeHunter is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Required profile

Experience

Industry :
Computer Hardware & Networking
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Communication
  • Analytical Skills

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