AI/Data Science Engineer Cybersecurity & Zero Trust Focus

AI/Data Science Engineer Cybersecurity & Zero Trust Focus

Posted 1 day ago by 1753959959

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Negotiable
Outside
Remote
USA
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Anomaly Detection Authentications Automation Cloud Computing Cloud Technology Cyber Security Data Science Forecasting MITRE ATT&CK Framework Natural Language Processing Pandas (Python Package) Parsing Predictive Modeling Python (Programming Language) PyTorch (Machine Learning Library) Scikit-learn (Machine Learning Library) Splunk TensorFlow Time Series Time Series Analysis And Forecasting

Summary: We are seeking an experienced AI/Data Science Engineer with a strong Python background to develop intelligent analytics and automation models for cybersecurity use cases, including Zero Trust frameworks. The ideal candidate will bridge data science, security operations, and threat intelligence to enhance detection, response, and proactive defense capabilities.

Key Responsibilities:

  • Design ML/AI models to detect anomalies, insider threats, and suspicious behavior across enterprise systems.
  • Build predictive models to automate Zero Trust policy enforcement (e.g., adaptive authentication, access scoring).
  • Analyze log data from security tools (e.g., SIEMs, IDS/IPS, endpoint protection, firewalls) using Python-based data pipelines.
  • Apply NLP to threat intel feeds and cybersecurity reports for entity recognition and pattern analysis.
  • Collaborate with SOC teams to build dashboards and alerting mechanisms.

Key Skills:

  • Strong Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).
  • Experience with cybersecurity data sources (Snort, Suricata, Zeek, Splunk, Elastic).
  • Familiarity with Zero Trust architecture and frameworks (e.g., NIST 800-207).
  • Experience in anomaly detection, time series forecasting, and log parsing.
  • Knowledge of cloud security (AWS/Azure/Google Cloud Platform), identity systems (Okta, AD).
  • Bonus: Exposure to graph analytics, MITRE ATT&CK framework, STIX/TAXII feeds.

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Hi Associate,

Greeting for the day,

We have an opportunity to work as an AI/Data Science Engineer Cybersecurity & Zero Trust Focus in a remote role. Please find the description below.

Role: AI/Data Science Engineer Cybersecurity & Zero Trust Focus

Location: Remote (EST Time Zone)

Duration: 24 Months

Interview: Telephonic followed by Video

Experience Skill Matrix in Years:

  1. Total Experience: Years

  2. US Experience (Onsite): Years

  3. AI/Data Science Engineer: Years

  4. Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow): Years

  5. Cybersecurity data sources (Snort, Suricata, Zeek, Splunk, Elastic): Years

  6. Zero Trust architecture and frameworks (e.g., NIST 800-207): Years

  7. Anomaly detection, time series forecasting, and log parsing: Years

  8. Knowledge of cloud security (AWS/Azure/Google Cloud Platform): Years

  9. Identity systems (Okta, AD): Years

Summary:
We are seeking an experienced AI/Data Science Engineer with a strong Python background to develop intelligent analytics and automation models for cybersecurity use cases, including Zero Trust frameworks. The ideal candidate will bridge data science, security operations, and threat intelligence to enhance detection, response, and proactive defense capabilities.

Key Responsibilities:

  • Design ML/AI models to detect anomalies, insider threats, and suspicious behavior across enterprise systems.

  • Build predictive models to automate Zero Trust policy enforcement (e.g., adaptive authentication, access scoring).

  • Analyze log data from security tools (e.g., SIEMs, IDS/IPS, endpoint protection, firewalls) using Python-based data pipelines.

  • Apply NLP to threat intel feeds and cybersecurity reports for entity recognition and pattern analysis.

  • Collaborate with SOC teams to build dashboards and alerting mechanisms.

Key Skills:

  • Strong Python (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow).

  • Experience with cybersecurity data sources (Snort, Suricata, Zeek, Splunk, Elastic).

  • Familiarity with Zero Trust architecture and frameworks (e.g., NIST 800-207).

  • Experience in anomaly detection, time series forecasting, and log parsing.

  • Knowledge of cloud security (AWS/Azure/Google Cloud Platform), identity systems (Okta, AD).

  • Bonus: Exposure to graph analytics, MITRE ATT&CK framework, STIX/TAXII feeds.

Thanks & Regards
Raju Reddy
email Id:
Contact number: +1-
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