Employer Industry: Cybersecurity

Why consider this job opportunity:
- Opportunity for career advancement and growth within the organization
- Flexible hybrid work model with remote work options
- Engaging work that involves solving complex security challenges
- Collaborative environment with cross-functional teams
- Chance to leverage cutting-edge technology and data science methodologies

What to Expect (Job Responsibilities):
- Develop models and algorithms to detect anomalies, predict risks, and drive automated security decision-making
- Analyze large-scale, high-velocity security telemetry, threat intelligence, and incident data
- Collaborate with engineers to integrate models into automation pipelines and tools
- Design experiments and simulations to evaluate control effectiveness and risk posture
- Communicate insights through dashboards, reports, and visual storytelling

What is Required (Qualifications):
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field (Master's preferred)
- A minimum of three (3) years of experience in data science, machine learning, or statistical modeling
- Proficiency in Python and data science libraries (pandas, scikit-learn, numpy, matplotlib, etc.)
- Experience with SQL, Spark, or distributed data environments (e.g., Databricks, ADX)
- Strong understanding of supervised and unsupervised learning, anomaly detection, and feature engineering

How to Stand Out (Preferred Qualifications):
- Experience in cybersecurity, threat detection, incident response, or risk modeling
- Knowledge of MITRE ATT&CK, CVE/CVSS, and other cyber threat frameworks
- Familiarity with automation frameworks and model lifecycle management
- Experience with tools such as ServiceNow, Sentinel, Defender XDR, or Splunk

#Cybersecurity #DataScience #MachineLearning #CareerOpportunity #HybridWork

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